As a Sr. Forward Deployed Engineer at Databricks, you will collaborate with customers to address their data and AI challenges using the Databricks platform. This hands-on, customer-facing role requires a blend of engineering expertise and business acumen to deliver impactful solutions. You will lead architecture and design decisions while working cross-functionally with various teams to ensure successful project delivery. The ideal candidate will thrive in a dynamic environment, focusing on customer empathy and measurable outcomes.

• 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.
• Willingness to travel to customers 20% of the time.
• 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.
• Ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
• Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to meet technical engagement needs.
• Provide product and implementation feedback to Engineering and Databricks Customer Support.
• Engage with customer teams to deeply understand their challenges and deliver impactful solutions.
• Contribute to accelerators, frameworks, and best practices that scale impact across accounts.