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Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks· Engineering
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Hybrid (Alabama; Virginia; Washington D.C.)$182k - $250.2kFull-timePosted 2mo ago

About the role

Senior, customer-facing engineer for federal government customers, focusing on building and productionizing data & AI solutions on the Databricks platform; leads architecture, design decisions, and end-to-end delivery across data engineering, AI, and application development. Hybrid role requiring 20-25% travel to customer locations.

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 a customers' successful understanding, evaluation and adoption of Databricks
  • Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices
  • Deliver technical components by coordinating with the Databricks technical team, Project Manager, Architect and Customer team
  • Collaborate with Engineers and Customer Support to provide product and implementation feedback and rapid issue resolution
  • Embed with customer teams and engage with stakeholders from technical ICs to executives 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 performant 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 a broad stakeholder range
  • Preferred: Expertise in MLOps, ML/AI models, and AI APIs
  • Preferred: Databricks Certification

Skills

Required:Data engineeringPythonScalaJavaScript/TypeScriptCloud platformsApache SparkCI/CDMLOps/AI modelsStakeholder management

Benefits

  • Benefits details available via regional link in the posting
Last updated Oct 1, 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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