Delivery Solutions Architect

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 organisation.

The impact you will have

• Be the accountable Databricks Architect for your assigned customers, working with technical teams to guide priority use cases from design through go-live—removing blockers, providing best practices, and ensuring stable, scalable adoption.

• Lead the post-technical-win strategy and execution plan for major Databricks use cases, aligning with Solutions Architects to understand full demand plans and drive clarity across multiple selling teams and stakeholders.

• Own the technical leadership of assigned use cases, creating certainty from ambiguity and coordinating onboarding, enablement, success, go-live, and healthy consumption of workloads selected for Databricks.

• Serve as the first point of contact for production/go-live status, often across multiple complex use cases within large enterprise organisations.

• Orchestrate the broader Databricks ecosystem—Shared Services, User Education, Onboarding/Technical Services, Support, and specialist technical teams—to ensure high-quality delivery and escalate advanced issues when needed.

• Create and execute a point of view for accelerating use cases into production, collaborating with Professional Services on proposals as needed.

• Partner with Product and Engineering to introduce new capabilities, private previews, and upgrade paths that support customer roadmaps.

• Develop and manage a unified technical execution plan covering:

  • progression of priority use cases from technical win through production
  • user enablement and growth
  • product adoption aligned with the Lakehouse vision
  • cloud cost control, tuning, and optimisation
  • executive and operational governance

• Provide clear internal and external updates, including KPI reporting on usage, customer health, investment status, risks, product adoption, and use case progression.

What we look for

• Programming experience in Python, SQL, or Scala, and a solid understanding of distributed data systems.
• 5+ years of experience delivering Data, Analytics, or AI projects, with the ability to contribute to architectural discussions with customers.
• Experience in customer-facing technical roles such as technical architecture, pre-sales, consulting, or customer success.
• Ability to guide architectural decisions in domains such as data engineering, data architecture, data warehousing, or data science.
• Demonstrated ability to drive delivery outcomes without hands-on keyboard responsibilities.
• Experience resolving complex escalations with senior customer stakeholders.
• Understanding of how to connect technical deliverables to business value.
• Track record of achieving or exceeding goals or objectives.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• Fluency in English is required; French or German language skills are a plus.
• Ability to 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.