The Data Engineering team at Imprint builds the foundation that enables teams and systems across the company to understand, trust, and use data. We own the core data platform, development patterns, and standards behind Imprint’s enterprise data warehouse, partnering closely with Infrastructure and with teams across the business.
As Imprint scales, one of our biggest data challenges is turning an increasingly complex business into data that is consistent, understandable, and easy to use by machines or people. Doing that well requires great analytics engineering: clear models of the business, strong definitions and abstractions, and systems that make high-quality data development repeatable.
We don’t believe the answer is simply adding more Data Engineers. We want to build a platform that gives domain experts across Imprint the tools and guardrails to contribute safely and independently—allowing us to dramatically increase the pace of analytics engineering without making Data Engineering a bottleneck.
We’re looking for a Data Engineering Senior Manager to lead this next phase of our Data Engineering organization. You will build and develop a high-performing team, raise the bar for analytics engineering, and create the platform and development model that allow high-quality data development to scale across Imprint.
This is a people leadership role for someone with deep technical judgment. You won’t carry an individual contributor roadmap, but you should be comfortable getting into the details, challenging assumptions, and helping the team reason from first principles about data modeling, architecture, and engineering practices.