You are a Databricks Champion, or you have the ambition to become one. You will be surrounded by an exceptional peer groupwith deep experience in Analytics Engineering within the Microsoft & Databricks tech stack, so you will always have colleagues to spar with on the (technical) decisions you make.
Your responsibilities
As a Senior Databricks Data Engineer, you work hands-on to deliver data platforms that are ready for analytics and AI, and you own them from first requirement to production. Every mission we embark on will be a collaboration with the customer, where we translate their ambitions into concrete deliverables.
- Design, build and maintain ETL pipelines and data models on Databricks, with Spark and Delta Lake
- Implement streaming and Change Data Capture with Lakeflow, including Declarative Pipelines
- Establish governance and access control in Unity Catalog
- Bring AI into the platform with Databricks Genie and Genie Spaces
- Translate customer questions into technical solutions, shape the solution design (data platform strategies and architectures) and implement it in Databricks
- Coach colleagues and client teams, and review their work
