We are hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. The role involves leading and growing a team of data engineers, owning team delivery, setting strong engineering practices, and collaborating cross-functionally with analytics, BI, revenue operations, and business stakeholders.
Requirements
- 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership
- Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow
- Deep experience working in GCP, especially BigQuery, GCS, and Composer
- Strong SQL skills and familiarity with DBT for modeling and documentation
- Clear understanding of data privacy and governance, including how to safely manage and segment first-party data
- Experience working in agile environments, including sprint planning and ticket scoping
- Excellent communication skills and proven ability to work cross-functionally across global teams
Benefits
- Day off on the 3rd Friday of every month (one long weekend each month)
- Monthly Wellness Reimbursement Program to promote health well-being
- Monthly Office Commutation Reimbursement Program
- Paid paternity and maternity leaves
