Databricks
Remote Posted 4d ago
As an Associate Forward Deployed Engineer at Databricks, you will work directly with enterprise customers to build and productionize data and AI solutions on the Databricks platform in a hands-on, customer-facing role.
Key Responsibilities
Deliver production-grade systems and reference architectures, contributing reusable frameworks, tools, and best practices along the way.
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 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.
Requirements
2+ years of experience in software engineering, data engineering, or data platforms and 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.
Preferred Qualifications
Experience with Apache Spark or distributed data processing is a plus.
Databricks Certification is a plus, and can be obtained after joining.