cloud engineer

Rivian designs and manufactures emissions-free electric adventure vehicles and develops advanced data platforms to support sustainable mobility solutions.

• Balance the delivery of high-impact data pipelines with the responsibility of maintaining and optimizing the Databricks environment;
• Act as a technical consultant within the team, proactively proposing infrastructure improvements and evaluating new technologies to keep the stack at the cutting edge;
• Design and deploy modular ingestion and processing pipelines using Lakeflow and Databricks Asset Bundles (DABs) for reproducible, automated deployments;
• Take a primary role in Databricks setup, ensuring the environment is tuned for performance and integrated seamlessly with the wider ecosystem;
• Configure and manage enterprise data lineage and metadata through Unity Catalog, ensuring data remains a trusted asset;
• Work alongside Data Scientists to build robust data services using Python, SQL, and dbt, helping translate complex requirements into elegant technical solutions.

• 4+ Years in Data Engineering, with a deep, hands-on understanding of the Databricks ecosystem;
• Possess an architect's mindset, enjoying big-picture thinking with a track record of proposing and implementing technical improvements;
• Demonstrate expert-level proficiency in Python, SQL, and dbt (data build tool);
• Bring strong experience with AWS infrastructure (S3, ECS, Lambdas), GitLab CI/CD, and automated data movement via Fivetran;
• Show proficiency in automating complex workflows using Managed Airflow or Databricks Workflows.

• No conditions specified