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Associate Forward Deployed Engineer
Databricks
About the Role
- Associate Forward Deployed Engineer (FDE) at Databricks.
- Hands-on, customer-facing role for individuals who thrive at the intersection of technology and business impact.
- Early-career role ideal for strong software engineers looking to grow into technical leaders.
- Requires working directly with enterprise customers to build and productionize data & AI solutions on the Databricks platform.
- Involves embedding with customer teams, shipping production-grade systems, and learning the Databricks platform deeply alongside senior FDEs and the engineering organization.
- Hub Cities: NYC, Mountain View.
- Hybrid office expectation with up to 20% travel to customer sites.
- This role is based in our New York (Midtown location) office.
The Impact You Will Have
- Production Solution Delivery: Deliver production-grade systems and reference architectures, contributing reusable frameworks, tools, and best practices.
- 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 workstreams, growing toward end-to-end delivery ownership.
- Work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure technical components of the engagement meet customer's needs.
Requirements & Tech Stack
- Strong full-stack software engineering skills proficiency in Python and JavaScript/TypeScript.
- 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 CI/CD.
- Interest in production data architectures and MLOps, ML/AI models, and AI APIs.
Qualifications
- 2+ years of experience in software engineering, data engineering, or data platforms & analytics.
- Excellent communication skills and a genuine interest in customer-facing engineering work.
- Ability to 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.
- Databricks Certification is a plus and can be obtained after joining.