• Serve as the initial technical point of contact for the migration of our enterprise data platform into Google Cloud Lakehouse. • Take point on the initial cloud implementation and Medallion architecture. • Share knowledge and establish best practices for HL7/Google Cloud implementations. • Develop complex SQL queries for data extraction, manipulation, and reporting and transformation technologies. • Design and implement robust ETL/ELT pipelines using custom-tooling (Python/Google) and off-the shelf tooling with focus on monitoring, supportability, and resource stewardship. • Contribute to and leverage coding standards and best practices to ensure efficient and re-usable services and components. • Architect, implement and deploy new data models and data processes in production. • Build data pipelines which acquire, cleanse, transform and publish data from a wide variety of sources. • Assemble large, complex data sets which meets functional and non-functional business requirements. • Partner with data asset managers, architects, and development leads to ensure technical solution provides data which is fit for use and in line with architecture blueprints. • Identify, document, design, and implement internal process improvements.