Engineering Manager, Imprint

• 10+ years of experience in data engineering, analytics engineering, or related roles, with 3+ years of management experience
• Deep expertise in Snowflake, dbt Cloud, and dimensional data modeling
• Experience with CDC replication, data orchestration tools (e.g., dbt Cloud, Airflow), and real-time or near-real-time data processing
• Familiarity with reverse ETL and operational analytics best practices
• Strong command of SQL, and a software engineering background in Python or another modern programming language
• A strong track record of leading teams through periods of growth and system evolution
• A bias toward building scalable, well-documented systems that balance speed and rigor
• Excellent communication and collaboration skills; able to work effectively across technical and non-technical stakeholders

Desirable

• The Data Engineering team at Imprint is responsible for building and scaling the data infrastructure that supports product development, analytics, operations, and machine learning across the company
• We own the pipelines, platforms, and processes that empower our stakeholders to trust and act on our data
• We’re looking for a seasoned and hands-on Engineering Manager to lead our Data Engineering function
• You’ll help scale our modern data stack while growing and mentoring a high-performing team
• Your impact will be felt across every part of the business, from accelerating product innovation to enabling near real-time decision-making
• Lead and grow a team of Data Engineers, fostering a culture of excellence, curiosity, and ownership
• Own the design, development, and maintenance of Imprint’s core data infrastructure, including Snowflake, dbt Cloud, Change Data Capture, and event streaming frameworks
• Guide architectural decisions for scalable data pipelines that support analytics, experimentation, and operational use cases
• Drive the implementation of data modeling standards, quality checks, and data governance practices across domains
• Oversee integrations with key tools such as reverse ETL platforms (e.g., Hightouch, Segment), Change Data Capture (CDC) replication (e.g., Fivetran, Hevo), and ETL pipelines
• Partner cross-functionally with Product, Analytics, Finance, and Engineering teams to ensure reliable and timely data delivery
• Oversee and maintain external data integrations, including partner data sharing pipelines (e.g., S3, SFTP, Snowflake exports). Ensure accurate and timely delivery of partner-facing datasets
• Own financial reporting pipelines (e.g. with Netsuite and other financial systems), ensuring integrity for billing, collections, reconciliation, and general performance tracking
• Champion documentation standards, knowledge continuity, and visibility for mission-critical projects, pipelines, and processes
• Collaborate with the Head of Analytics & Data Science on long-term roadmap planning, budgeting, and hiring strategy
• Stay on top of emerging best practices in the modern data stack and apply them to improve velocity and resilience as we scale our business