Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte-Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more. Independently collaborate with different stakeholders including Data Management, Data Engineering, Data Scientists, Research Operations, Testing, Software, Firmware, and Hardware to define and implement improvements and new functionality and support internal Data lakehouse consumers in their day-to-day work.