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Associate Forward Deployed Engineer

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

About the Role

You will work directly with enterprise customers to build and productionize Data & AI solutions on Databricks. You will deliver production-grade systems and reference architectures, contribute to architecture decisions for full-stack solutions, embed with customer teams, and manage technical scope and timelines. Up to 20% travel to customer sites and hybrid office expectation.

Requirements

  • 2+ years in Software Engineering, Forward Deployed Engineering, or AI Engineering
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering
  • Full-stack skills in Python and JavaScript/TypeScript
  • Computer Science fundamentals
  • Experience with AWS, Azure, or GCP or desire to learn
  • Familiarity with CI/CD, MLOps, ML/AI models and AI APIs
  • Excellent communication skills
  • Up to 20% travel to customer sites

Responsibilities

  • Deliver production-grade systems and reference architectures
  • Support strategic customers through data & AI projects from prototype to production
  • Contribute to architecture and design decisions for full-stack solutions
  • Embed with customer teams to understand technical and business challenges
  • Collaborate with senior FDEs, engineering, and customer support
  • Manage technical scope and timelines for workstreams
  • Work with technical team, Project Manager, Architect and customer team to deliver engagement components