Imprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.
The Team
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.
What You’ll Do
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.
What We Look For
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.
Bonus Points For
Experience working in a startup or fintech environment.
Familiarity with event streaming platforms like Kafka.
Exposure to data privacy, governance, or compliance frameworks.
Prior work on customer-facing data products, ML pipelines, or prescriptive analytics.
Perks & Benefits
Flexible vacation policy
Fully covered, high-quality healthcare including fully covered dependent coverage options
Additional health coverage includes access to One Medical, FSA and HSA enrollment
16 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
Annual salary range: $220,000 - $250,000, annual target bonus, and competitive equity package
Imprint 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.
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Join Imprint as an Engineering Manager, Data, and be part of an innovative team that’s redefining the world of co-branded credit cards! Based in vibrant cities like New York, San Francisco, or Cincinnati, this role is all about building and scaling top-notch data infrastructure that powers product development, analytics, operations, and machine learning. Picture yourself leading a talented group of Data Engineers who foster a culture of curiosity and ownership - you’ll mentor and grow them while steering the design and maintenance of platforms like Snowflake and dbt Cloud. Your leadership will enhance our ability to deliver reliable data insights for decision-making and accelerate product innovation. In this hands-on role, you'll drive key architectural decisions for scalable data pipelines and oversee integrations with essential tools, ensuring accurate data delivery to all stakeholders. You’ll also collaborate with various teams including Product and Analytics to uphold data integrity. Offering extensive experience in data engineering along with your excellent communication skills, you’ll thrive here while implementing data governance practices that shape the future of Imprint. If you’re excited about leading a high-performing team in a fast-paced environment and navigating through the evolving landscape of data engineering, this is the perfect opportunity for you to make a significant impact across our organization.
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Imprint is a financial services company based in New York. We partner with America's greatest brands to design, launch, and manage co-branded credit card programs that are worthy of modern customers.
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