Sökresultat för "KPI Reporting"

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Trust & Safety Operations team safeguards Roblox’s community and creators. Within this organization, our IP and Legal Compliance Operations teams are dedicated to protecting Intellectual Property, ensuring strict regulatory compliance, and facilitating a safe, fair environment for rights holders, developers, and users. We scale Operations and elevate our users’ experience through a multi‑year vision, rigorous execution, and data‑driven decision making. You will be reporting to the Manager Data Operations and act as the data SME for both IP and Compliance Operations, working closely with other domain-specific data analysts on the team. This position is critical to understanding, optimizing, and reporting on the operational performance of our Intellectual Property enforcement and our Legal Compliance workflows. You Will: * Own the analysis and reporting for both Intellectual Property Operations and broader Legal Compliance Workflows. Deliver recurring KPI packs for senior leadership across Safety, Legal, and Developer Relations partners. * Identify opportunities through trend and cohort analysis; build business cases and lead cross‑functional initiatives from concept to impact. * Collaborate with Data Science, IP Product, Policy, and Operations teams to define and maintain metric definitions, KPI hierarchies, and analytical guardrails that drive operational excellence in both IP protection and compliance obligations. * Design, build, and maintain advanced operational reports and dashboards, delivering critical insights on IP enforcement and overall compliance health to senior-level management and cross-functional stakeholders across Operations, Legal, Product, and Engineering. * Select and apply the most appropriate analytical methods to assess both IP operations and Legal Compliance programs, extract relevant data, and derive actionable insights to ensure we meet all of Roblox's legal and regulatory obligations efficiently and accurately. * Monitor industry trends in digital rights management, regulatory compliance frameworks, and analytical best practices; incorporate them into our operational data strategies and tooling. You Have: * 7+ years of experience in a professional setting, with demonstrated experience in quantitative analysis and complex program management. * Domain Knowledge: Good understanding of intellectual property operations (like copyrights, trademarks, and Digital Rights Management) and legal compliance processes (such as regulatory response SLAs, privacy operations, or law enforcement guidelines) in the tech industry—either through hands-on experience or by working closely on cross-functional projects. * Technical Proficiency: Advanced proficiency in SQL, including complex queries, common table expressions, and window functions; working knowledge of Git and Python and/or R is highly desirable. * Cross-Functional Leadership: Proven ability to work effectively with cross-functional teams (specifically Legal, Product, Engineering, and frontline IP/Compliance Operations) to drive strategic initiatives. * Problem Solving: Strong analytical skills with a track record of using data to inform decision-making, optimize complex workflows, and solve operational bottlenecks. * Business Acumen: Deep understanding of business operations and the ability to align data strategies with strict legal, regulatory, and IP business objectives. * Expertise in consulting with stakeholders and managing complex projects from inception to completion. * Strong multitasking and time management skills to balance the distinct needs of IP operations and Compliance operations. * Minimum of a Bachelor’s degree in a technical field / analytical discipline (preferred: Computer Science, Data Analytics, Information Systems, Statistics, Mathematics, Business Analytics or equivalent), with a strong preference for an MBA or MS or equivalent experience Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Zscaler

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role  We are looking for an Analyst, Business Performance to join our team. This is a hybrid role, reporting to the Director, Business Performance in the Office of CEO Business Performance department. You will lead strategic initiatives and optimize operations across the organization, making your mark on the planning and product roadmap at the forefront of the world’s cloud security leader. You’ll champion innovation and help deliver a growing portfolio of capabilities in threat prevention, visibility, and business enablement. What you’ll do (Role Expectations) * Own and drive complex, cross-functional projects aimed at accelerating growth, optimizing operations, and improving profitability * Collaborate with leadership to design, execute, and track strategic initiatives focused on business growth and operational efficiency * Conduct market research, competitive analysis, and performance reviews to guide growth strategies effectively * Develop and implement data-driven strategies to enhance organizational processes and scalability * Develop and maintain core business models, forecasts, and dashboards to monitor KPIs and communicate findings to stakeholders Who You Are (Success Profile) * You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. * You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. * You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. * You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) * Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain * Educational Background in Business, Finance, Economics, Operations, or a related field * 3-5 years of experience in strategy, management consulting, or operational roles within dynamic industries * Exhibited expertise in financial modeling, KPI tracking, and performance evaluations alongside strong problem-solving and decision-making skills * Proficiency in analytical tools such as Excel, SQL, Tableau, Power BI, and other data visualization platforms What Will Make You Stand Out (Preferred Qualifications) * Experience leveraging predictive AI models or automated machine learning tools to enhance macroeconomic forecasting and corporate performance dashboards * Experience in industries like consulting, finance, or technology * Prior exposure to strategic planning or change management initiatives #LI-Hybrid #LI-NT1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Databricks

REQ ID - CSQ427R11 Location: Vancouver, BC At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.    Canada Pay Range $175,800—$241,800 CAD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ227R121 Locations - Sweden, Denmark, Finland (Hybrid/Remote) At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on: * Designing secure, scalable architecture  * Aligning people, processes, and technology  * Establishing trusted advisor relationships * Leveraging the broader ecosystem of Databricks experts  This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.  While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: * Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise * Create  and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs, presenting them to the customers when applicable for their ongoing developments * internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership What we look for: * Programming experience in PySpark, Python and Databricks (or similar data platform) * Understanding and hands-on experience of solution architecture-related distributed data and analytics systems * 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program coordination including account and stakeholder management * Experience resolving complex and important escalation with senior customer technical stakeholders * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30%   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

Req ID: CSQ327R31 Location: Tokyo, Japan At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on invesment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan The impact you will have: * You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers. * Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts. * Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.  * You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.  * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.  * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals. * Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.  * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM. What we look for: * 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers. * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * A understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Full professional proficiency in Japanese is mandatory; business-level English proficiency is preferred. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ427R20 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ227R25 At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Lakehouse platform. As a Delivery Solutions Architect (DSA), you will play a critical role during this journey. The DSA works across a small number of our largest or highest potential key accounts, collaborating across Databricks teams to accelerate the adoption and growth of the Databricks platform. As a DSA, you will help ensure customer success by driving focus and technical accountability to our most complex customers who need guidance to accelerate consumption on Databricks workloads that they have already selected. This is a hybrid technical and commercial role. It is commercial in the sense that you will be required to own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to execute upon. This is in parallel to being technical, with expectations being that you become at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win. You will bring strong executive relationship management skills and high levels of technical credibility to effectively engage and communicate at all levels with an organization, in particular with a track record of building strong relationships with the customers' executives and C-suite, elevating the conversation, and helping them realize the value of Databricks. You will report directly to a Director, Field Engineering, as part of your Business Unit's Technical GM organization. You will play a key role in establishing the fundamental assets and best practices within the DSA team, mentoring other DSAs and wider account team members within your region, helping them develop personally, professionally and to further their careers. The impact you will have: * Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers. * Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts. * Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks. * Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations. * Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise. * Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals. * Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog). * Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams: * Key use cases moving from 'win' to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of LH vision) * Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization * Executive and operational governance * Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM * Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team What we look for: * 8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Experience understanding architecture related distributed data systems, specifically within one of the following: * Data Engineering technologies (e.g. Spark, Hadoop, Kafka) * Data Warehousing (e.g. SQL, OLTP/OLAP/DSS) * Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO) * Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts to address any onboarding or technical challenges outside of your remit or bandwidth. * Influencing and leading teams - especially without having direct reporting line responsibility for individuals within account and leadership teams, both internally and externally * Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences (technical, non technical) at all levels of an organization with particular success in building and maintaing strong CxO level relationship * Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives * Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Building and steering to a value case - business value consulting and realization * Quota ownership, achievement and track record of great performance against objective target * Proficient in both Korean and English (Native level Korean and Business level English) verbally and in writing About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ427R31 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python or Spark * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ427R103 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritized customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise * Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: * Main use cases moving from ‘win’ to production * Enablement/user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL, or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related to distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management, including account, stakeholder, and resource management accountability * Experience in resolving complex and important escalations with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects * Track record of overachievement against quota, goals, or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Ability to travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $180,000—$247,500 USD Zone 2 Pay Range $180,000—$247,500 USD Zone 3 Pay Range $180,000—$247,500 USD Zone 4 Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ227R17 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ327R23 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritized customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise * Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: * Main use cases moving from ‘win’ to production * Enablement/user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL, or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related to distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management, including account, stakeholder, and resource management accountability * Experience in resolving complex and important escalations with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects * Track record of overachievement against quota, goals, or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Ability to travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Smartsheet

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet’s Enterprise Systems team manages the development, use, and support of the Enterprise Applications including the internal use of Smartsheet.  Our team is looking to hire a Senior NetSuite Administrator who is an active listener with great technical skills. As we continue to scale, we are looking for a NetSuite Administrator who understands how to implement and scale enterprise systems. Smartsheet is looking to hire a Senior NetSuite Administrator who will proactively improve and support the development, implementation, and maintenance of Smartsheet’s NetSuite system and other related SAAS enterprise systems. This role reports to the Manager, Enterprise Systems within Corporate IT and is based in India. This NetSuite Administrator will need to demonstrate strong influence and communications skills to collaborate internally with the Finance, Engineering, Sales and IT departments and act as an advisor to the organization on system efficiency and effectiveness. The position will be the primary internal support contact for NetSuite, all related points of integration. You Will: * Maintain the NetSuite application and other related 3rd party business applications for internal users * Develop, test and deploy customizations, custom objects, 3rd party tools / applications and new NetSuite modules based on evolving business needs * Support end user requests for new saved searches, reports, KPI’s, and dashboards, and maintain proper system access for user roles * Act as NetSuite SME providing training, communication and updates to end users of the NetSuite system * Create technical documentation, including fully documenting existing and new customizations, scripts, workflows, and business processes, and keeping all documentation up to date * Partner with NetSuite users and stakeholders, assisting with data analysis, business process mapping, reporting needs, continuous improvement initiatives, change management and support for optimal usage * Provide timely communication regarding system status * Troubleshooting of system errors and resolution * Maintain up-to-date knowledge of NetSuite functionality, customization and integrations You Have: * 7+ years of experience with ERP administration, configuration, and 3rd party integrations in complex environments, specifically with NetSuite * Administrator-level knowledge of roles, permissions, page layouts, custom objects, scripting, workflows, reports and dashboards * In-depth knowledge of SuiteScript / WebServices, csv imports, user provisioning, defining roles, analytics and scheduling scripts * Ability to analyze problems, develop and recommend solutions and resolve issues * Ability to operate successfully in a fast-paced environment that places a strong premium on integrity, excellence, execution and teamwork 
 * Well-organized, ability to prioritize tasks, meet deadlines and manage multiple projects while 
maintaining a high level of accuracy 
 * Ability to remain professional and flexible while under pressure * A strong understanding of business processes and requirements * Project management, system implementation and system integration experience * Strong analytical and problem solving skills * Ability to work independently with minimal guidance * Ability to work collaboratively with cross-functional teams * Strong understanding of the Agile process   Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote

Databricks

FEQ327R184 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, Spark, Databricks or similar Data Platform  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

FEQ227R319 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 2 Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.