Sr. Solutions Architect - AI Natives Business

Sr. Manager, Field Engineering - Digital Native Business

Databricks

As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the fastest-growing tech companies.  You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers. This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers.  You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders. This role will report to the Director of Solutions Architecture for the Digital Native Business Named Account Unit. Responsibilities: * Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads. * Adapt the SA team's skills and engagement model to match the needs of Digital native customers  * Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle * Travel to customer sites for executive sessions, technical workshops, and building relationships * Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team * Stay current with emerging Data and AI trends in the digital native tech sector What we look for: * 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning) * 5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment  * A history of building a territory, growing strategic accounts, and exceeding targets * Inspiring a team vision about the unique nature of the digital natives business  * A history of execution by managing workloads and consumption with sales, product, and engineering counterparts * Experience owning executive alignment in accounts that guide strategic decisions    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 $192,100—$264,175 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.

Sr. Delivery Solutions Architect - AI Native

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 into one of our largest AI native 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 account 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 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 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 $219,100—$301,300 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.

Sr. Enterprise Data & AI Architect

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake empowers enterprises and people to reach their full potential. Our culture is centered on impact, innovation, and collaboration, creating a place where you can build big, move fast, and grow your career. We’re looking for a Sr Enterprise Data & AI Architect to join a specialized team that guides our largest customers through complex data and AI transformations. Reporting to the Director of AFE Architecture, this person will: * Shape enterprise data and AI architectures across AWS, Azure, GCP, and the Snowflake Data Cloud * Provide hands-on technical leadership in Enterprise Data Platforms, Enabling a Data Driven Organizational Culture, AI/ML * Advise C‑level executives (e.g. CTO, CDO, VP Engineering) on strategic architecture decisions and investment choices. This role blends deep hands on technical expertise with executive presence. You should be able to design sophisticated AI/ML solutions and comfortably influence technology strategy at Fortune 500 organizations. KEY RESPONSIBILITIES STRATEGIC ARCHITECTURE LEADERSHIP * Be part of a specialized team scaling thought leadership and driving direct complex, architecture‑level customer engagements (L400/L500) across the entire Snowflake sales organization * Define and drive cloud integration strategies across major cloud providers and key ecosystem partners. * Oversee and build proofs of concept, migrations, and modernization programs, providing hands‑on technical guidance. * Create reusable assets (presentations, reference architectures, and implementation guides). AI & DATA PLATFORM ARCHITECTURE * Design and review modern AI/ML architectures on Snowflake, including data platforms, pipelines, and production applications. * Guide customers in moving from legacy to cloud‑native, AI‑ready architectures. * Architect solutions leveraging Snowflake Cortex, ML capabilities, and integrations with leading AI frameworks. * Ensure secure, governed AI/ML deployments, including LLM safety, data privacy, and compliance. * Define MLOps/LLMOps and RAG/agentic patterns for training, deployment, and monitoring at scale. * Advise on build vs. buy decisions and cost models for training, inference, and managed AI services. COMPETITIVE & MARKET INSIGHT * Develop a deep understanding of competitive cloud data and AI platforms and how Snowflake differentiates. * Build competitive playbooks, battle cards, and guidance for field teams. * Partner with Product and Engineering to inform a roadmap based on customer and competitive insights. EXECUTIVE ADVISORY & ENGAGEMENT * Act as a trusted advisor to senior technology and business executives on data and AI transformation. * Lead high‑stakes customer reviews where architecture choices have major strategic and financial impact. * Represent Snowflake at industry events, executive briefings, and strategic forums. * Help customers shape AI investment strategies using ROI frameworks and TCO/business case analysis. TEAM DEVELOPMENT & OPERATIONS * Mentor, and develop a world‑class enterprise architecture practice across the broader solution engineering organizations * Drive knowledge sharing and continuous learning within the team and across Sales, Customer Success, and Product. WHAT YOU BRING * 15+ years in enterprise architecture, solutions engineering, or similar technical leadership roles, with increasing scope. * Deep hands‑on AI/ML experience, including LLMs, ML pipelines, and AI application architectures. * Expert‑level knowledge of cloud data platforms (e.g., Snowflake, Databricks, AWS, Azure, GCP) and multi‑cloud architectures. * Proven track record influencing executive‑level technology decisions at large enterprises. * Strong understanding of AI governance, data privacy, and compliance for enterprise AI. * Solid technical foundation: SQL mastery, Python/data engineering, and familiarity with the modern data stack. * Experience in competitive enterprise selling, including platform displacement or co‑existence. * Expertise in modern AI architecture patterns (MLOps/LLMOps, RAG, vector databases, agentic frameworks). * Evidence of building AI business cases and TCO models, and demonstrating measurable ROI. * Exceptional communication skills, with the ability to simplify complex concepts for executive audiences. * Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred. PREFERRED * Experience leading architecture practices at a major cloud provider or enterprise software company. * Published thought leadership in data architecture, AI/ML, or cloud transformation. * Direct experience architecting and operating production AI/ML systems at scale. * Background in professional services, consulting, or customer‑facing technical roles. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. The application window is expected to be open until July 26, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com