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Databricks

Sr. Forward Deployed Engineer - Public Sector

Databricks · Berkeley, California; California; Connecticut; Los Angeles, California; Massachusetts; New Hampshire; New Jersey; New York; Pennsylvania; Rhode Island; San Diego, California; Washington

Posted about 3 months ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Databricks's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
high
872 stale, 25 reposted of 879 open
Hiring momentum
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.

About this role

As a Sr. Forward Deployed Engineer at Databricks, you will work closely with government clients to develop and implement data and AI solutions using the Databricks platform. Your role involves leading architecture and design decisions, delivering production-grade systems, and collaborating with various stakeholders to ensure successful project outcomes. This position requires a hands-on approach and includes periodic travel to client locations for on-site work.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.

What you need

  • 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

Nice to have

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

Worth weighing

  • U.S. citizenship and eligibility for a U.S. government Public Trust, Secret and/or Top Secret clearance are required
  • The role is hybrid with a requirement to travel to customer locations 20-25% of the time
  • No specific benefits listed in the posting

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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