Our Opportunity:

Chewy is seeking a Manager of Data Engineering to join our IT Engineering team in Boston, MA. This new position will lead the engineering technology team responsible for building data products that support data science, analytics, and automation for Chewy. The data engineering team owns implementation, data stewardship, data architecture, and data transformation. The ideal candidate will have proven, hands-on experience managing a team of engineers and maturing team operations. Above all other factors, we are looking for smart, driven candidates who want to be part of a culture of innovation and creativity.

What you'll do:

• Manage the day-to-day operation of the data engineering team
• Implement best practices in data engineering to mature team processes
• Drive the team toward execution of corporate strategic objectives
• Wow our business teams with innovation that creates immediate business value and strategic advantage for our company
• Establish technical standards and guidelines to ensure integrity of systems and compliance with company IT standards, policies, and processes
• Ensure service level agreements with business units are met
• Implement operations processes that cover day-to-day jobflow execution and a support model that reduces support requirements on engineers
• Implement process measurements to ensure quality standards and throughput is maintained by each engineer

What you'll need:

• Demonstrated experience initiating and leading enterprise data engineering initiatives
• Experience overseeing the ongoing operation of a data engineering team
• Development background in multiple large scale projects involving data integration
• Strong technical backend experience with SQL, NoSQL, and Big Data platforms (and related technologies)
• Demonstrated ability to think / act strategically and influence key leaders and partners
• 8+ years of related IT work experience including architecture design and deployment and systems lifecycle development management
• 3+ years of leadership experience in managing cross functional teams and direct management of teams (functional and technical)
• Strong analytics and communications background (e.g., math, statistics, quantitative methods, and verbal and writing proficiency)
• Must have a proven track record of working with Senior and C-level executives to determine analytics data requirements and implementing systems to warehouse and retrieve key business information
• Must be willing to travel