Engineering Manager (Data Team)

5+ years of experience in a leadership role (Tech Lead, Senior, or Manager) on a data team. Degree in Computer Science, Data Science, or a related field. Expert-level experience with DBT. Strong experience designing, scheduling, and monitoring Airflow data pipelines. Expert-level SQL skills, including performance tuning and database maintenance. Experience with BI tools (Superset preferred). Strong Python proficiency for data pipelines and infrastructure. Basic working knowledge of Ruby/Rails. Demonstrated experience owning data accuracy and validation end-to-end. Comfortable running agile sprints and managing a Kanban board. Excellent communication skills to explain technical concepts and manage expectations. Proactive and high-ownership approach to identifying system and process improvements.

Manage and mentor the data engineering team through 1:1s, feedback, and career development support. Organize and lead two-week sprints, including planning, check-ins, and Kanban board management. Promote transparency and ownership through strong peer-review practices. Communicate team progress, metrics, and initiatives to leadership and stakeholders. Define and execute the long-term vision for data engineering infrastructure (scalability, performance, reliability). Establish and document workflows, data priorities, access controls, and development lifecycle. Review DBT PRs for code quality, performance, model structure, and data correctness. Build, manage, and troubleshoot Airflow DAGs for data imports, scheduling, and pipeline reliability. Validate data accuracy and performance in Superset reports and dashboards. Maintain, optimize, and scale PostgreSQL data warehouse. Write and review Python code for Airflow DAGs, data ingestion, and pipeline improvements. Design and guide scalable data models. Understand Ruby/Rails code for debugging and collaboration. Serve as the gatekeeper for data accuracy. Keep DBT, Airflow, and Superset up to date, manage configurations, and address issues. Act as the go-to expert for data engineering and analytics teams.