Senior Data Engineer / Databricks Champion

Do you want to play a key role in building a modern data platform that enables analytics and AI at enterprise scale? We are looking for a Senior Data Engineer with deep Databricks expertise to join a high-performing platform team. This is an opportunity to combine hands-on engineering with platform development, architecture, and technical enablement in an environment where you'll have a real impact on both technology and ways of working. About the Role As part of a central platform team, you will help build and evolve a modern cloud-based data platform used by multiple development teams. This is not a traditional Data Engineer role focused solely on pipelines—you will contribute to creating reusable frameworks, improving the developer experience, and enabling other teams to succeed. Your responsibilities will include: Developing and improving data ingestion and data product frameworks. Designing and implementing scalable data governance and access control using Unity Catalog. Acting as the go-to Databricks expert, supporting and coaching development teams. Evaluating and introducing new Databricks capabilities to continuously improve the platform. Contributing to a scalable, secure, and user-friendly platform for data, analytics, and AI. We Believe You Have Several years of experience working as a Data Engineer with Databricks in production environments. Strong expertise in Apache Spark, Python, and SQL. Experience with Unity Catalog, data governance, and modern data platform architecture. A background in building reusable frameworks and platform components. The ability to collaborate with engineers, architects, and stakeholders across different teams. Strong communication skills and a passion for knowledge sharing and technical coaching. Experience with AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, and Databricks certifications is considered an advantage. Who You Are You're a collaborative and curious engineer who enjoys sol