As a 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, ensuring that systems are secure and scalable while integrating with client systems. Your work will empower customers to successfully adopt Databricks and drive 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
• Experience with at least one common Cloud ecosystem (AWS, Azure, GCP)
• Deep experience with distributed computing using Apache Spark™
• Familiarity with CI/CD for production deployments
• Knowledge of MLOps, ML/AI models, and AI APIs
• Experience in designing and deploying end-to-end data architectures and applications
• Strong project delivery experience, managing scope and timelines
• Excellent documentation and white-boarding skills
• Experience working with enterprise clients and managing conflicts
• Demonstrated curiosity and adaptability in exploring new technologies
• Willingness to travel to customers 20% of the time
• Databricks Certification

• Lead impactful customer technical projects by delivering production-grade systems and custom applications.
• Guide strategic customers in implementing transformational big data projects.
• Empower customers by providing architecture and design guidance.
• Own architecture and design decisions to ensure solutions meet customer needs.
• Collaborate with the Databricks technical team and customer teams to meet engagement requirements.
• Provide product and implementation feedback to Engineering and Customer Support.
• Engage with customer stakeholders to understand challenges and deliver solutions.
• Contribute to accelerators, frameworks, and best practices to scale impact across accounts.