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Sr. Forward Deployed Engineer - National Security

Databricks· Engineering
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Hybrid (United States)$182k - $250.2kFull-timePosted 1mo ago

About the role

Senior, client-facing engineer role focused on delivering production-grade data and AI solutions for federal government customers using the Databricks platform. Hybrid work with 20-25% travel to customer locations; requires U.S. citizenship and eligibility for a U.S. government secret clearance.

Responsibilities

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement big data projects including end-to-end design, build and deployment of big data and AI applications
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects to ensure adoption of Databricks
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices
  • Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure delivery of technical components
  • Cross-Collaborate: Provide product and implementation feedback with Engineers and Customer Support for rapid issue resolution
  • Customer Immersion: Embed with customer teams to understand challenges and deliver impact
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale across accounts and influence product roadmap

Qualifications

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Fluency in Python, Scala, JavaScript/TypeScript; experience with modern frameworks
  • Working knowledge of two or more 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 combining data pipelines, ML/AI models, and user interfaces
  • Experience with technical project delivery, documentation and white-boarding; enterprise client engagement and stakeholder management
  • Preferred: Expertise in MLOps, ML/AI models, AI APIs; Databricks Certification

Skills

Required:PythonScalaJavaScript/TypeScriptCloud platformsApache SparkCI/CDMLOps

Benefits

  • Benefit details available via regional link in job description (see Databricks benefits page)
Last updated Sep 24, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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