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Engineering Manager, Data

Who We Are

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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Average salary estimate

$235000 / YEARLY (est.)
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$220000K
$250000K

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What You Should Know About Engineering Manager, Data, Imprint

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.

Frequently Asked Questions (FAQs) for Engineering Manager, Data Role at Imprint
What responsibilities does the Engineering Manager, Data at Imprint have?

The Engineering Manager, Data at Imprint is responsible for leading a dynamic team of Data Engineers, managing the design and maintenance of data infrastructure, and ensuring reliable data delivery across the organization. This includes guiding architectural decisions, implementing data governance practices, and overseeing external data integrations.

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What qualifications are needed to apply for the Engineering Manager, Data position at Imprint?

Candidates for the Engineering Manager, Data position should have over 10 years of experience in data engineering or related fields, with at least 3 years in a management role. Familiarity with tools such as Snowflake and dbt Cloud, as well as SQL and Python skills, is essential.

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What technologies does the Engineering Manager, Data at Imprint work with?

The Engineering Manager, Data at Imprint primarily works with a modern data stack, including Snowflake, dbt Cloud, and various data orchestration tools. Knowledge of Change Data Capture, ETL processes, and real-time data processing are also important components of the role.

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How does the Engineering Manager, Data role at Imprint contribute to the company’s success?

This role is pivotal for shaping the company’s data infrastructure, enabling timely data delivery, and fostering a culture of excellence within the Data Engineering team. The Engineering Manager’s decisions directly impact product innovation and operational efficiency across Imprint.

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What is the work culture like for the Engineering Manager, Data at Imprint?

At Imprint, the culture is collaborative and inclusive, emphasizing curiosity and ownership. The Engineering Manager, Data will not only lead a high-performing team but will also actively engage with stakeholders across the organization, promoting communication and collaboration.

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Common Interview Questions for Engineering Manager, Data
Can you describe your experience leading a data engineering team?

Discuss specific instances where you've successfully managed a team, fostering collaboration and ownership. Highlight your leadership style and how it contributed to the team's effectiveness.

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What is your approach to ensuring data integrity in pipelines?

Explain the methodologies you use to implement data quality checks, governance practices, and how you communicate these standards to your team and cross-functionally.

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How do you stay updated with emerging technologies in data engineering?

Discuss your methods for continuous learning, such as attending conferences, participating in workshops, and reading industry publications. Share specific technologies you are excited about and why.

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Can you give an example of a complex data pipeline you managed?

Provide a detailed account of a data pipeline project, emphasizing the challenges faced, your problem-solving approach, and the outcome. Be sure to include the technologies used.

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What experience do you have with Snowflake and dbt Cloud?

Share your practical experiences with Snowflake and dbt Cloud, including specific projects where you utilized these tools. Highlight their key features and how they benefited your data engineering efforts.

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How do you prioritize tasks within your team?

Explain your approach to task prioritization, including how you balance urgent projects with long-term goals. Mention how you involve your team in the prioritization process and ensure alignment.

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What role do you think documentation plays in data engineering?

Discuss the importance of documentation for maintaining transparency, continuity, and agility within data teams. Give examples of documentation practices you've implemented.

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How do you handle conflicts between technical and non-technical stakeholders?

Describe your strategies for bridging gaps between technical and non-technical teams, emphasizing your communication skills and ability to translate technical concepts into business language.

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What is your experience with real-time data processing?

Share examples of how you've implemented real-time data processing within a project, the technologies involved, and the impact this had on the business or product outcomes.

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How do you mentor junior data engineers?

Discuss your mentoring style and specific techniques you use to nurture junior engineers. Highlight the importance of knowledge sharing and developing their technical skills.

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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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April 4, 2025

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