Databricks
Delivery Solutions Architect - Public Sector (Federal)
$180K–$248K
United States +1 · Remote · Full-time · Posted Oct 18, 2026
- Location
- United States
Remote - California - Experience
- 7+ years; no alternative stated.
- Education
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
- Visa sponsorship
- U.S. citizenship is required to access classified information; no other visa policy stated.
About the job
Leads post-sale technical strategy and delivery for strategic public-sector customers, accelerating Databricks use cases from technical win through production and healthy adoption.
What you'll do
- Own technical account plans and coordinate customer-facing teams to drive onboarding, enablement, go-live, adoption, and workload consumption.
- Serve as the technical lead and first contact for production issues, escalations, and customer questions across assigned use cases.
- Coordinate delivery plans, customer governance, product needs, and KPI updates with customer stakeholders and Databricks teams.
What they ask for
- U.S. citizenship; the posting states it is required to access classified information.
- 7+ years accountable for technical project/program delivery in Data and AI, with ability to contribute to customer technical debate and design choices.
- Programming experience in Python, SQL, or Scala.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
Nice to have
- Customer-facing experience in pre-sales, technical architecture, customer success, or consulting.
- Understanding of distributed data systems architecture and experience with complex executive escalations, strategic roadmaps, and business analysis.
Pay
$180,000 — $247,500 USD (salary range; posting says expected salary range for non-commissionable roles or on-target earnings for commissionable roles).
Tools
Python, SQL, Scala, Databricks Platform
AI focus
Supports customer adoption and delivery of Data and AI workloads on the Databricks Platform; no specific AI development work is stated.
Model-written summary · the original posting is authoritative