• Design, implement, and optimize dbt models that transform raw event- and entity-level data into analytics-ready datasets. • Own and evolve data domains that support reporting across Khan Academy. • Develop, document, and test semantic and reporting layers in Looker (LookML). • Partner with Analysts to establish consistent metric definitions, reusable data patterns, and shared governance practices. • Drive data modeling standards and champion best practices in naming, testing, and schema design. • Diagnose and resolve complex data issues, coordinating across Data Infrastructure and Engineering when needed. • Mentor Analytics Engineers and Analysts, providing feedback through code reviews and technical guidance. • Collaborate with cross-functional teams to identify opportunities to improve data accessibility and reliability.