Associate Forward Deployed Engineer at Databricks

Job description

CSQ427R339 Hub 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. 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 CI/CD, and an interest in production data architectures and MLOps, 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. About Databricks Databricks is a data and AI company. More than 10,000 organizations worldwide rely on Databricks to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. This role is based in our Mountain View, CA office. Travel to customers is expected approximately 20% of the time. More About Databricks YouTube About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Requirements

Must-haves

Hub Cities: NYC | Mountain View | up to 20% travel to customer sites + Hybrid office expectation
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.
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 CI/CD, and an interest in production data architectures and MLOps, ML/AI models and AI APIs.
Excellent communication skills and a genuine interest in customer-facing engineering work.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonjavascripttypescriptawsazuregcpci/cdml

Platform: greenhouse
Effort: quick