Associate Forward Deployed Engineer
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 seeking to grow into a technical leader. You will embed with customer teams, deliver production-grade systems, and deepen your knowledge of the Databricks platform while working alongside senior Forward Deployed Engineers and Databricks engineering teams. The role supports strategic customer data and AI projects from prototype through production deployment. You will contribute to architecture and design decisions for secure, scalable, full-stack solutions; collaborate with customer teams to understand their business and technical challenges; and help deliver measurable impact. You will also work with senior FDEs, engineering, customer support, project managers, architects, and customer teams to unblock work, incorporate customer learnings into the product, and deliver technical components that meet customer needs. You will manage technical scope and timelines for assigned workstreams, growing toward ownership of end-to-end delivery. The role is based in the Mountain View, California office, with a hybrid office expectation and approximately 20% travel to customer sites. The posting also identifies New York City as a hub city.
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 or TypeScript, and comfort working 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 Forward Deployed Engineers, Databricks engineering, and customer support to unblock customers and share learnings with the product organization.
- Manage technical scope and timelines for assigned workstreams, developing 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.
Benefits
- Databricks states that it strives to provide comprehensive benefits and perks; specific benefits depend on the employee's region.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
