Sr. Forward Deployed Engineer - Public Sector

Databricks · Alabama; Berkeley, California; California; Connecticut; Los Angeles, California; Massachusetts; New Hampshire; New Jersey; New York; Pennsylvania; Rhode Island; San Diego, California; Washington · Professional Services Operations · listed July 28, 2026

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The shape of it

Seniority
Senior
Experience asked
6–10 years
Where
Hybrid
Stated pay
$182,000 – $250,208 USD
Requirements listed
9
Length
1,071 words

In the posting’s own words

As a Sr. Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.

What it asks for · 9

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
  • Experience with technical project delivery, documentation and white-boarding skills
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range Preferred Qualifications

Also a plus

  • 10+ years experience in data engineering, data platforms & analytics, or software engineering
  • Databricks Certification
  • Expertise in MLOps, ML/AI models, and AI APIs

Tools and skills named

Data
  • Databricks6×
  • Spark3×
  • Data pipelines
Cloud & infra
  • AWS
  • Azure
  • CI/CD
  • GCP
Languages
  • JavaScript
  • Python
  • Scala
  • TypeScript
Models & research
  • Machine learning4×
Product & design
  • Roadmap
Ways of working
  • Technical writing

Words the posting leans on

  • customer19×
  • data12×
  • technical8×
  • engineering7×
  • architecture6×
  • projects6×
  • design5×
  • experience5×
  • impact5×
  • client4×
  • lead4×
  • product4×
  • applications3×
  • data engineering3×
  • deliver3×
  • delivery3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched November 2, 2026 and last changed by Databricks on October 12, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.