Data Engineering Manager

Imprint • New York, NY

8d • $170,000 - $200,000

About The Position

Imprint is seeking a Data Engineering Manager to lead the next phase of their Data Engineering organization. This role involves building and developing a high-performing team, improving analytics engineering standards, and creating a scalable platform and development model for high-quality data development. The manager will focus on people leadership with deep technical judgment, guiding architectural decisions, and fostering a culture of ownership and continuous improvement. The team's priorities include making Imprint's data legible, raising the bar for analytics engineering through strong principles and patterns in dbt and Snowflake, scaling analytics engineering beyond the Data Engineering team by enabling domain experts, and building the platform to support these initiatives in partnership with Infrastructure.

Requirements

• Experience 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 to evaluate data models and architecture, identify unnecessary complexity, challenge team thinking, and provide direction.
• Strong SQL fluency.
• Familiarity with Python and modern software engineering practices.
• The ability to move comfortably between strategy and detail, pairing strong opinions with intellectual curiosity and first-principles thinking.

Responsibilities

• Build and lead an exceptional Data Engineering team, including hiring, coaching, developing senior technical leaders, setting performance bars, and fostering a culture of ownership and continuous improvement.
• Develop and implement a point of view on how AI can improve the analytics engineering lifecycle.
• Set the technical direction for Data Engineering, guiding architectural decisions and ensuring the team builds simple, scalable, and reliable systems.
• Partner with Infrastructure, Analytics, Data Science, Product, Engineering, Finance, and other teams to understand business needs and build a data ecosystem that enables faster decision-making.
• Partner with the Head of Data on organizational design, hiring, roadmap prioritization, and investments to support company growth.
• Lead the evolution of the enterprise data warehouse into a clear, consistent, and trusted representation of the business.
• Establish strong principles and patterns for data modeling, transformation, testing, documentation, and ownership within the dbt and Snowflake environment.
• Create a development model that allows domain experts to contribute high-quality data models safely and independently.
• Partner with Infrastructure to create tooling, workflows, and guardrails for contributing to the enterprise data warehouse.

Benefits

• Competitive compensation and equity packages
• Leading configured work computers of your choice
• Flexible paid time off
• Fully covered, high-quality healthcare, including fully covered dependent coverage
• Additional health coverage includes access to One Medical and the option to enroll in an FSA
• 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
• Access to industry-leading technology across all of our business units

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed