Databricks Data Engineer

Serve as a lead engineer and trusted technical advisor on customer Databricks engagements, from design through production deployment

Deliver hands-on development on Databricks across multiple customer projects

Design and optimize distributed-computing workloads on Spark, applying knowledge of Spark runtime internals

Implement CI/CD for production deployments

Operationalize MLOps workflows to support machine-learning use cases

Advise on and apply the breadth of Databricks product and platform features

Tune workloads for performance, scalability, and cost efficiency

Work across two or more cloud ecosystems (AWS, Azure, GCP), applying deep expertise in at least one

Guide customers through best-practice lakehouse implementation and production readiness

Collaborate with customer stakeholders and onshore leads overlapping PST hours to ensure timely, high-quality delivery