Associate Forward Deployed Engineer

Neon; Mountain View (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Databricks in Mountain View, CA is seeking an Associate Forward Deployed Engineer to work hands-on with enterprise customers to deliver data and AI solutions on the Databricks platform.

You will embed with customer teams, ship production-grade systems, and grow toward end-to-end delivery while collaborating with senior FDEs and our engineering organization. Travel ~20% is expected, with a hybrid office setup. This early-career role emphasizes practical engineering growth and customer impact.

Qualifications

• 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, across back-end, APIs, and front-end.
• Solid computer science fundamentals: data structures, algorithms, testing, and version control.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Familiarity with CI/CD, 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.

Responsibilities

• Deliver production-grade data and AI solutions for enterprise customers.
• Embed with customer teams to understand challenges and deliver measurable impact.
• Define architecture for secure, scalable full-stack Databricks solutions.
• Collaborate with senior FDEs, engineering, and support to unblock customers.
• Manage technical scope and timelines for your workstreams, growing toward end-to-end delivery ownership.

Skills

Python

JavaScript/TypeScript

Cloud platforms

CI/CD

Spark

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

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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.
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