Senior Forward-Deployed Engineer, Secret Clearance Eligible

Databricks Inc.

United States

Hybrid

USD 182,000 - 250,000

Full time

3 days ago
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Job summary

Databricks is seeking a Sr Forward Deployed Engineer to work with federal government customers, owning architecture and delivering end-to-end data & AI solutions on the Databricks platform. This hands-on, customer-facing role requires traveling to client sites 20-25% and collaborating with engineering, product, and support teams to deliver measurable impact.

The ideal candidate has 6+ years in data engineering or software, strong cloud experience (AWS/Azure/GCP), and deep Spark expertise to

Qualifications

  • 6+ years in data engineering, data platforms & analytics, or software engineering.
  • Two or more cloud ecosystems (AWS/Azure/GCP) with expertise in at least one.
  • Deep experience with distributed computing using Apache Spark and runtime internals.
  • Familiarity with CI/CD for production deployments and MLOps practices.
  • Experience delivering technical projects for enterprise clients with documentation.

Responsibilities

  • Lead production-grade system delivery for federal government projects.
  • Own architecture, design decisions, and end-to-end implementation.
  • Collaborate with engineering, product, and customer teams across engagements.
  • Embed with client teams and ensure solutions are secure and scalable.
  • Travel to customer locations 20-25% of the time and gather feedback for improvement.

Skills

Data engineering
Cloud platforms
Distributed computing
CI/CD for production
MLOps / ML models
Technical project delivery

Education

Bachelor's degree in CS or equivalent

Tools

Jenkins

Job description

Databricks is seeking a Sr Forward Deployed Engineer to work with federal government customers, owning architecture and delivering end-to-end data & AI solutions on the Databricks platform. This hands-on, customer-facing role requires traveling to client sites 20-25% and collaborating with engineering, product, and support teams to deliver measurable impact.

The ideal candidate has 6+ years in data engineering or software, strong cloud experience (AWS/Azure/GCP), and deep Spark expertise to

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