Sr. Deployment Strategist, FDE - Public Sector

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will act as the bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You will lead discovery with C-suite stakeholders, define the pilot MVP and success criteria, write the PRD, prioritize the engineering backlog, and drive FDE engineers through agile delivery. You will lead technical discovery and design reviews, own production readiness, launch and adoption, and scope ongoing maintenance while identifying next engagements.

Requirements

  • Executive presence and excellent communication skills
  • Product judgment and ability to write product requirements and lead agile projects
  • Technical fluency in modern data and AI architectures
  • Proficiency in at least one language such as Python, Java or SQL
  • Typically 7+ years delivering complex customer-facing data, analytics, AI or software engagements
  • Experience delivering data, ML or generative AI systems into production
  • Willingness to work onsite with customers (often 25-50%)

Responsibilities

  • Partner with Sales to perform deep discovery, map the customer's organization and quantify business value
  • Define the pilot including MVP, success criteria and timeline
  • Author the PRD, prioritize the engineering backlog and manage scope
  • Act as primary hands-on QA tester
  • Translate business requirements into data, integration, security and operational requirements
  • Drive the FDE build team through agile delivery and manage stakeholders
  • Lead technical discovery and design reviews and pressure-test architecture choices
  • Own Day 0 launch and drive solution to full adoption
  • Own production readiness across data quality, testing, security, performance and operations
  • Scope ongoing maintenance plan and create customer documentation and training
  • Identify next high-value FDE engagement and codify reusable solution patterns

Benefits

  • Annual performance bonus eligibility
  • Equity eligibility