Drimva

Databricks

Sr. Deployment Strategist, FDE - Public Sector

$220K–$302K

Washington, D.C. +1 · Remote · Senior · Full-time · Posted Sep 21, 2026

Location
Washington, D.C.
Remote - California
Experience
Typically 7+ years delivering complex customer-facing data, analytics, AI, or software engagements, or equivalent experience as a founder or technical builder; experience delivering data, machine learning, or generative AI systems into production.

About the job

Own customer-facing AI and data engagements from discovery through production launch, translating strategic business problems into product requirements, technical direction, and measurable outcomes.

What you'll do

  • Partner with Sales and customer executives to define business value, pilot MVPs, success criteria, and timelines; author PRDs and prioritize engineering work.
  • Lead technical discovery, architecture reviews, and agile delivery with FDE engineers; manage scope, stakeholders, risks, and production readiness.
  • Own launch, adoption, and value measurement; plan maintenance and training, and identify follow-on opportunities and reusable solution patterns.

What they ask for

  • Strong executive presence and communication; ability to build trust with senior stakeholders.
  • Product judgment and experience writing requirements, prioritizing engineering work, and managing complex agile projects.
  • Technical fluency in modern data and AI architectures, including cloud, pipelines, distributed systems, APIs, security, machine learning, and generative AI.
  • Proficiency in at least one programming language, such as Python, Java, or SQL; ability to explore data, review code, prototype, and troubleshoot.

Nice to have

  • Experience in a high-growth technology company, forward-deployed organization, or leading consultancy.
  • Willingness to work onsite with customers, often 25–50%, sometimes higher.

Pay

$219,765 — $302,220 USD (base salary)

Tools

Python, Java, SQL

AI focus

Deliver data, machine learning, and generative AI systems into production, including defining and shaping customer AI solutions.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)