• Design, build, and maintain dbt models that transform raw event- and entity-level data into curated, analytics-ready datasets. • Develop, document, and test semantic and reporting layers in Looker (LookML). • Partner with Analysts and cross-functional stakeholders to ensure consistent metric definitions and accurate data pipelines. • Contribute to data modeling best practices, including naming conventions, incremental strategies, and schema evolution. • Implement data quality tests and validation checks to ensure reliability of production datasets. • Monitor and troubleshoot data issues, coordinating fixes with Data Infrastructure and Engineering.