Senior Forward-Deployed Engineer, Secret Clearance Eligible

Databricks Inc.; United States; Hybrid; USD 182,000 - 250,000; Full time

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