Delivery Solutions Architect - Public Sector (SLED)

United States · California · USD 180,000-247,500 / year · 7+ years experience · Posted Oct 18, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

As a Delivery Solutions Architect (DSA) for the Public Sector (SLED) at Databricks, you will collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform.
This is a hybrid technical and commercial role where you serve as the post-sale technical lead across all Databricks products while driving growth and executive relationships within assigned accounts.

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 strategic accounts
Be the accountable technical leader assigned to specific use cases and customers across multiple selling teams and internal stakeholders
Serve as the first contact for any technical issues or questions related to production or go-live status of agreed-upon use cases
Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources to build tasks beyond your scope of activities
Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services
Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
Develop an execution plan covering customer-facing technical roles and teams across main use cases, enablement, product adoption, organic needs, and governance
Provide internal and external updates through KPI reporting on usage status, customer health, investment status, risks, and product adoption

U.S. citizenship
7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI
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 delivery of complex programs/projects
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience