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