• Design, own, and maintain core enterprise data models. • Provide architectural leadership by defining and enforcing data engineering standards and best practices. • Implement and manage Snowflake security and RBAC, ensuring secure, scalable access across analytics and AI use cases. • Build and maintain reusable dbt macros, seeds, and utility functions. • Leverage advanced dbt features including incremental models, snapshots, and exposures. • Optimize and refactor complex SQL for performance, reliability, and maintainability. • Implement and maintain CI/CD workflows (Git branching, automated testing, code reviews). • Monitor Snowflake warehouse and query performance. • Drive Snowflake cost optimization initiatives (warehouse sizing, caching, workload management). • Mentor and support junior data engineering resources. • Partner with leadership to co-own Snowflake COE and data governance practices.