Data Engineering Manager

📋 Description

• Build and lead an exceptional Data Engineering team. Hire engineers, coach, grow senior technical
• Use AI to increase speed and quality across the analytics engineering lifecycle.
• Set the technical direction for Data Engineering. Guide architecture and ensure simple, scalable
• Partner with Infrastructure, Analytics, Data Science, Product, Engineering, Finance, and other
• Shape the future of the Data organization with organizational design, hiring, and roadmap planning.

🎯 Requirements

• Experience leading high-performing data or analytics engineering teams, including hiring and
• Deep expertise in analytics engineering with dbt and turning complex domains into understandable
• Strong technical judgment with ability to evaluate data models and architectures.
• Strong SQL fluency and familiarity with Python and modern software practices.
• Ability to move between strategy and detail, using first-principles thinking.

🎁 Benefits

• Competitive compensation and equity packages
• Flexible paid time off and high-quality healthcare including dependent coverage
• Access to One Medical and FSA options
• Generous parental leave and industry-leading technology resources