Manage and mentor the data engineering team. Organize and lead two-week sprints. Promote transparency and shared ownership through peer reviews. Communicate team progress to leadership. Define and execute the long-term vision for data engineering infrastructure. Establish and document workflows and development lifecycle. Take full ownership of the data stack (DBT, Airflow, Superset, PostgreSQL). Review and ensure quality of DBT PRs. Build, manage, and troubleshoot Airflow DAGs. Validate data accuracy and performance in Superset. Maintain, optimize, and scale PostgreSQL data warehouse. Write and review Python code for data pipelines. Design and guide scalable data models. Understand Ruby/Rails code for debugging. Ensure data accuracy before handoff to analytics. Keep DBT, Airflow, and Superset updated and manage issues.