Associate Forward Deployed Engineer

Databricks • Mountain View, CA

1d • Hybrid

About The Position

As an Associate Forward Deployed Engineer at Databricks, you will work hands-on with enterprise customers to build and productionize data and AI solutions on the Databricks platform. This early-career, customer-facing role is suited to a software engineer who wants to develop into a technical leader. You will embed with customer teams, deliver production-grade systems, and deepen your knowledge of the Databricks platform alongside senior Forward Deployed Engineers and the engineering organization.

You will support strategic data and AI projects from prototype through production deployment, contribute to architecture and design decisions for secure, scalable, full-stack solutions, and help customers address technical and business challenges. You will collaborate with senior FDEs, Databricks engineering, customer support, project managers, architects, and customer teams to deliver engagement components that meet customer needs. You will manage technical scope and timelines for your workstreams while growing toward end-to-end delivery ownership. The role is based in the Mountain View, California office, with a hybrid office expectation and approximately 20% travel to customer sites.

Requirements

• At least 2 years of experience in software engineering, data engineering, or data platforms and analytics.
• Strong full-stack software engineering skills, including proficiency in Python and JavaScript/TypeScript and comfort with back-end services, APIs, and modern front-end frameworks.
• Solid computer science fundamentals, including 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, MLOps, ML/AI models, and AI APIs.
• Excellent communication skills and genuine interest in customer-facing engineering work.
• Curiosity, adaptability, and eagerness to explore technologies that support deployment and integration of Databricks-based solutions for customer projects.

Nice To Haves

• Experience with Apache Spark or distributed data processing.
• Databricks Certification; the certification can also be obtained after joining.

Responsibilities

• Deliver production-grade systems and reference architectures, contributing reusable frameworks, tools, and best practices.
• Support strategic customers through transformational data and AI projects from prototype through production deployment.
• 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 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 engagement components meet customer needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed