
Databricks · Singapore
FEQ327R226 Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier...
Mission
The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on
earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue
growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may
span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly
engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling
reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails,
and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets
accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations,
demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a
meaningful way.
The Lakebase product-line requires the following core technical competencies:
with a proven track record of designing and delivering client-facing solutions.
ecosystems.
scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)
The impact you will have
territory.
to drive product adoption and vision.
thought leadership.
Engineering teams
ensuring customer success in mission-critical environments.
Competencies & Responsibilities
and product adoption.
effort across GTM and R&D teams.
outcomes.
governance, transactional systems, app development, and streaming.
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.
FEQ327R255 We are looking for a Sr. Manager, Field Engineering – Lakebase, to join our world-class hyper-growth organization. In this role, you will lead a specialized team of pre-sales Solutions Architects focused on our high priority product-line, Lakebase. The team will engage with complex, strategic accounts, helping drive the growth and expansion of our Lakebase product offering in a territory that spans across multiple verticalized business units.. Your experience partnering with sales organizations will help grow consumption, while coaching new sales and pre-sales team members to work together and raise the bar to best-in-class execution. Your team will engage, plan and strategically align with direct account teams in the verticalized business units, jointly engaging clients as you help ensure Lakebase is adopted and provides tremendous value to our customers. You will guide your team and be involved in initiatives to enhance its effectiveness. You must be an expert at communicating complex, business-value-focused solutions, while remaining deeply technical as you position, explain, and are seen as a credible technical leader in the transactional database (OLTP) domain; support a complex consumption motion; and build relationships with key stakeholders in large enterprises. This role will report to a Global Lakebase leader in Field Engineering. THE IMPACT YOU WILL HAVE: * Hire and manage a team of technical pre-sales Solutions Architects focused on Lakebase. * Build a collaborative culture within a rapid-growth team that embodies and promotes Databricks’ customer-obsessed, team-first, and diverse values. * Support our growing Lakebase business, focusing on customer value and enabling your SA team to drive technical adoption and consumption. * Support increased return on investment of Solutions Architect involvement in sales cycles. * Create trust-based, long-term customer relationships and deeply understand transactional databases (OLTP), along with data platform, data warehousing (OLAP), AI, app development and cloud market landscapes and trends, reporting on the forces that shift the strategic direction of accounts. * Promote a solution-, value-, and technical-based field engineering organization focused on modern data architectures, operational workloads, and AI-native applications. * Display an understanding of business needs and revenue potential for accounts in the assigned region. * Build Databricks’ Lakebase brand across the market in partnership with Marketing, Product, and Sales teams. * Partner closely with Product and Engineering teams to translate customer feedback, technical requirements, and competitive insights into field readiness and product evolution. WHAT WE LOOK FOR: * 5+ years of first-line or second-line leadership experience, with teams of 7+ individuals (first-line) or 20+ individuals (second-line). * Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience in transactional (OLTP) database technologies, ideally including data warehousing, cloud infrastructure, data platforms, or AI solutions. * Ability to elevate executive engagement with a track record of driving large consumption and high-growth customers. * Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach. * Proven track record of transformational success and delivery of customer value. * Track record of building strong ecosystems of strategic customer relationships and cross-functional partnerships (Sales, Engineering, Product, Marketing). * Experience in complex strategic accounts generating $1M+ ARR. * Knowledgeable in and passionate about data-driven decisions, AI, cloud software models, operational data systems, and modern database architectures. * Great at instituting processes for technical field members to improve efficiency and execution. * Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. * Up to 30% travel at times. 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.
FEQ327R201 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. * Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. * Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. * Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: * Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. * Develop customer relationships and build internal partnerships with account executives and teams. * Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. * Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). * Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. 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.
FEQ327R528 As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation * Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation * Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform * Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures * Improve community adoption (through tutorials, training, hackathons, conference presentations) * Contribute to the Databricks Community and act as a technical SME. What we look for: * Pre-sales or post-sales experience working with external clients across a variety of industry markets * Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark) * Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including: * Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity). * Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability * Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc) * Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc). * Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections. * Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions * Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration * Production programming experience in one or more of the following languages - Python, Scala, SQL, or R * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience * The role located in Singapore covers the Asean and Greater China Regions, which requires travel up to 30% when needed. * Nice to have: Databricks Certification 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.