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Engineering Manager, Data Transformation

Job in Seattle, King County, Washington, 98127, USA
Listing for: Stripe
Full Time position
Listed on 2026-04-16
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 203400 - 305200 USD Yearly USD 203400.00 305200.00 YEAR
Job Description & How to Apply Below

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About

the team

The Data Transformation team is responsible for building and operating batch and real time transformation pipelines and platforms for 400+ product teams ’re aiming to make data development and management workflow at Stripe a breeze with emphasis on producing high quality datasets used for critical analytics, dashboards and workflows  Products owned by this team are widely adopted with 800+ weekly active users improving developer productivity for data users by many folds.

The team is in an interesting phase of innovation tied to topmost priority for Stripe building and executing the strategic roadmap for streaming transformation, incremental processing and ergonomic data modeling.

We empower our users ranging from Data Scientists to Engineers building pipelines to create exceptional Stripe product experiences while providing a robust transformation platform for critical dashboarding, analytics and workflows at Stripe including user-facing reporting products Sigma and Radar .

We adopt a combination of open source technologies and in-house built software to ensure high scalability, reliability, and usability of our transformation offerings. Key example technologies used include:
Spark, Airflow, Iceberg, Hive, S3, SQL, Python, Scala, GRPC, Kafka and Flink

SQL.

What you’ll do

As an Engineering Manager of the Data Transformation team, you will lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance the Data Transformation roadmap and adoption  will be driving critical work streams for Stripe’s topmost priorities around delivering high quality, materialized datasets Stripe products and AI agents.

You will:

  • Deliver infrastructure and services that scale to our users needs with an eye on reliability and efficiency
  • Lead and manage a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success
  • Work with high-visibility teams and their stakeholders to support the Infrastructure’s key engineering initiatives
  • Understand user needs and pain points to prioritize engineering work and deliver high quality solutions that meet user needs
  • Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion
  • Provide hands‑on technical leadership (architecture/design, vision/direction/requirements setting, and incident response processes) for your reports
  • Work with leaders across the company to create and drive toward the longer term vision of Stripe’s Data Transformation roadmap
  • Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team
  • Partners with our recruiting team to attract and hire top talent, and define the overall hiring strategies for your team
Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

We’re looking for someone who has:

  • 1 - 3 years of experience managing teams that shipped and operated data pipelines and critical distributed system infrastructure
  • Successfully recruited and built great teams.
  • Extreme customer focus, committed to investing in partnerships with other Stripe engineers to establish empathy and understand their use‑cases
  • Works effectively cross‑functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade‑offs.
  • Thrives with a high degree of autonomy and responsibility in an ambiguous environment.
  • Technical…
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