The Sr. Forward Deployed Engineer (FDE) role at Databricks focuses on collaborating with customers to address their data and AI challenges using the Databricks platform. This hands-on, customer-facing position requires a blend of engineering expertise and business impact awareness. FDEs are responsible for leading architecture and design decisions while ensuring solutions are secure and scalable. The role involves working cross-functionally with various teams to deliver impactful technical projects and empower customers in their data journey.

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Proficiency in coding with Python, Scala, JavaScript/TypeScript, and modern frameworks.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models, and AI APIs.
• Experience in designing and deploying performant production end-to-end data architectures and applications.
• Experience with technical project delivery, managing scope, timelines, and measurable outcomes.
• Strong documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• Demonstrated curiosity, adaptability, and eagerness to explore new technologies.
• Databricks Certification.

• Lead impactful customer technical projects by delivering production-grade systems and designing reference architectures.
• Guide strategic customers in implementing transformational big data projects, including end-to-end design, build, and deployment.
• Advise customers on architecture and design, ensuring successful understanding and adoption of Databricks.
• Lead architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs.
• Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to meet engagement needs.
• Work with Engineering and Databricks Customer Support to provide product feedback and resolve engagement-specific issues.
• Engage with customer teams to understand challenges and deliver impactful solutions.
• Contribute to accelerators, frameworks, and best practices that scale impact across accounts.