Engineering Manager (Data Engineering)

📋 Description

• Lead, grow, and develop a team of data engineers owning domain-aligned data products, including
• Build strong working relationships with engineers across the team, understand strengths and
• Ensure operational efficiency and actively participate in organizational initiatives with the
• Own the end-to-end lifecycle of domain datasets: ingestion, transformation, modeling, publication
• Own delivery of the domain ETL roadmap, including prioritization, sequencing, commitments, and
• Own freshness, accuracy, and availability SLAs for critical datasets, along with the on-call and

🎯 Requirements

• 8+ years of experience in data engineering, including 3+ years directly managing engineers
• Strong hands-on background with SQL, Python, and Spark, with production experience building and
• Deep expertise in data modeling, including dimensional modeling, slowly changing dimensions
• Experience owning business-critical datasets end-to-end, with real accountability for freshness
• Hands-on experience with a modern cloud warehouse such as Snowflake, BigQuery, Redshift, or similar
• Experience with a workflow orchestrator such as Airflow or similar

🎁 Benefits

• Joining Quince means being part of a mission-driven team reshaping retail
• Work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more