The posting, in Databricks's own words
archived Oct 23, 2026Hub Cities: NYC | Mountain View | up to 20% travel to customer sites + Hybrid office expectation
As an Associate Forward Deployed Engineer (FDE) at Databricks, you'll be in a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. You'll work directly with enterprise customers to build and productionize data & AI solutions on the Databricks platform. This early-career role is ideal for a strong software engineer looking to grow into a technical leader. You will embed with customer teams, ship production-grade systems, and learn the Databricks platform deeply alongside senior FDEs and our engineering organization.
The impact you will have:
Production Solution Delivery: Deliver production-grade systems and reference architectures, contributing reusable frameworks, tools, and best practices along the way. Transformational Impact: Support strategic customers through transformational data & AI projects, from prototype through production deployment. Own the Architecture: Contribute to architecture and design decisions for secure, scalable, full-stack solutions on the Databricks platform. Embed with customer teams to understand their technical and business challenges and help deliver measurable impact. Collaborate closely with senior FDEs, Databricks engineering, and customer support to unblock customers and feed learnings back into the product. Manage technical scope and timelines for your workstreams, growing toward end-to-end delivery ownership. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
Read the full posting ↓
What we look for:
2+ years of experience in software engineering, data engineering, or data platforms & analytics. Strong full-stack software engineering skills proficiency in Python and JavaScript/TypeScript, and comfort working across back-end services, APIs, and modern front-end frameworks. Solid computer science fundamentals: data structures, algorithms, testing, and version control. Experience with at least one major cloud platform (AWS, Azure, or GCP), or a strong desire to develop cloud expertise quickly. Familiarity with , and an interest in production data architectures and , ML/AI models and AI APIs. Excellent communication skills and a genuine interest in customer-facing engineering work. Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Experience with Apache Spark or distributed data processing is a plus. We'll help you build platform depth on the job. Databricks Certification is a plus, and can be obtained after joining.