Databricks Data Engineer (7+)
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
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