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Sr. Forward Deployed Engineer - National Security

Databricks· Engineering
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Hybrid (Multiple (Boston, MA; DE; MD; Remote CA/NY/DC; VA; WV))$182k - $250.2kfull-timePosted 1mo ago

About the role

Senior forward deployed engineer role focused on delivering production-grade data & AI solutions for federal government customers using the Databricks platform. Hybrid role with travel to customer locations 20-25% and U.S. citizenship/secret clearance eligibility required for access to classified information.

Responsibilities

  • 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
  • Guide strategic customers as they implement big data projects including end-to-end design, build and deployment of big data and AI applications
  • Bootstrap or implement customer projects which leads to successful understanding, evaluation and adoption of Databricks
  • Own architecture by leading design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices
  • Deliver technical components with the Databricks team to meet customer needs
  • Collaborate with Engineers and Customer Support to provide product and implementation feedback and rapid issue resolution
  • Embed with customer teams to understand challenges and deliver impact
  • Contribute accelerators, frameworks, and best practices that scale impact 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 and 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 production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces
  • Experience with technical project delivery, documentation and white-boarding
  • Experience working with enterprise clients and managing conflicts across stakeholders
  • Preferred: Expertise in MLOps, ML/AI models, and AI APIs
  • Preferred: Databricks Certification
  • Pay information provided (Zone ranges) is listed in the description and may apply to compensation
  • U.S. citizenship and eligibility for a U.S. government secret clearance required for access to classified information

Skills

Required:PythonScalaJavaScript/TypeScriptCloud platformsApache Spark

Benefits

  • Benefits details and regional specifics are available via the linked benefits document in the job description
Last updated Sep 10, 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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