Data Engineering Manager

Data Engineering ManagerThe 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're looking for a Data Engineering 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.What You'll DoBuild and lead an exceptional Data Engineering team. Hire great engineers, coach and develop the team, grow senior technical leaders, set a high performance bar, and create a culture of ownership and continuous improvement.Use AI to increase both speed and quality. Develop and implement a point of view on how AI can improve the full analytics engineering lifecycle, from stakeholder engagement, team management, to design and development.Set the technical direction for Data Engineering. Bring strong opinions grounded in experience while encouraging first-principles thinking. Guide architectural decisions and ensure the team builds systems that are simple, scalable, reliable, and appropriate for the problems we're solving.Partner across the company. Work closely with Infrastructure, Analytics, Data Science, Product, Engineering, Finance, and other teams to understand how the business works, define clear ownership, and build a data ecosystem that enables teams to move faster and make better decisions.Shape the future of the Data organization. Partner with the Head of Data on organizational design, hiring, roadmap prioritization, and the investments needed to support Imprint's continued growth.What We Look ForExperience introducing AI-assisted workflows at scale.Experience in a high-growth startup, fintech, or another environment where data correctness and reliability are critical.A track record of building and leading high-performing data or analytics engineering teams, including hiring exceptional talent, developing engineers, managing performance, and growing senior technical leaders.Deep expertise in analytics engineering with dbt, with experience turning complex business domains into data models that are understandable, reusable, and trusted.Strong technical judgment. You can evaluate data models and architecture, identify unnecessary complexity, challenge your team's thinking, and provide direction without needing to personally implement every solution.Strong SQL fluency and enough familiarity with Python and modern software engineering practices to engage deeply with the team's technical work.The ability to move comfortably between strategy and detail, pairing strong opinions with intellectual curiosity and first-principles thinking.Perks & BenefitsCompetitive compensation and equity packagesLeading configured work computers of your choiceFlexible paid time offFully covered, high-quality healthcare, including fully covered dependent coverageAdditional health coverage includes access to One Medical and the option to enroll in an FSA20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parentsAccess to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivityImprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together.