Data Engineering Manager

Imprint
New York, San Francisco
Workplace: HybridFull timeUSD 170,000 - 200,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["First-principles thinking","Technical judgment","Leadership","Ownership","Collaboration"]

Lead Imprint’s Data Engineering organization by building and developing a high-performing team and raising the bar for analytics engineering. Own the technical direction for the data platform and enterprise data warehouse as you evolve dbt + Snowflake standards for modeling, transformation, testing, documentation, and ownership. Partner across engineering, infrastructure, analytics, data science, product, and finance to scale high-quality data development using AI-assisted workflows and a distributed development model.

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FursaFursa
Imprint
Imprint
4 days ago

Data Engineering Manager

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead Imprint’s Data Engineering organization by building and developing a high-performing team and raising the bar for analytics engineering. Own the technical direction for the data platform and enterprise data warehouse as you evolve dbt + Snowflake standards for modeling, transformation, testing, documentation, and ownership. Partner across engineering, infrastructure, analytics, data science, product, and finance to scale high-quality data development using AI-assisted workflows and a distributed development model.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Build and lead a Data Engineering team by hiring, coaching, setting performance expectations, and fostering ownership and continuous improvement.
  • •Develop and implement a point of view on how AI can improve the analytics engineering lifecycle, including design and development.
  • •Set the technical direction for Data Engineering, guiding architecture toward simple, scalable, reliable systems.
  • •Partner across the company (Infrastructure, Analytics, Data Science, Product, Engineering, Finance) to define ownership and build an enabling data ecosystem.
  • •Shape the future of the Data organization with organizational design, hiring, roadmap prioritization, and investments in support of growth.

Pay and Benefits

Salary: USD 170,000 - 200,000 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid LeaveEquity

Key Requirements

  • •Experience introducing AI-assisted workflows at scale.
  • •Track record building and leading high-performing data or analytics engineering teams, including hiring, developing engineers, and managing performance.
  • •Deep expertise in analytics engineering with dbt, including turning complex business domains into reusable, trusted data models.
  • •Strong SQL fluency and enough familiarity with Python and modern software engineering practices to engage deeply with technical work.
  • •Strong technical judgment to evaluate data models and architecture, identify unnecessary complexity, and guide first-principles thinking.
Experience:FintechStartup
Skills:First-principles thinkingTechnical judgmentLeadershipOwnershipCollaboration
Tech Stack:DbtSnowflakeSQLPythonAI

Company Brief

Imprint
Builds a modern co-branded financial platform that partners with consumer brands to design, launch, and operate credit, deposit, and loyalty products that drive engagement, spend, and long-term customer value.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: New York, United States
Founded: 2020
Glassdoor
Glassdoor: 3.0
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