Guide the Data Engineering team to build high-performance ETL pipelines using Spark
Design the Internal Data Platform architecture to support medallion architecture
Provide thought leadership on cost savings for cloud hyperscalers
Design and build AI agents to automate development and support tasks
Collaborate with Security and Compliance to ensure proper data permissions
Collaborate with Data Platform and Governance teams to make data scalable and discoverable

🎯 Requirements

10+ years experience working on enterprise data lakes/warehouses
5+ years of Spark and Python experience
5+ years of direct hands-on experience with AWS or GCP
Thorough AI knowledge, particularly with codegen tools and agentic frameworks
Hive, Iceberg, Glue, or other technologies that expose big data as tables
Familiarity with Parquet, Avro, and JSON

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