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Engineering Manager, Core Data Infrastructure

83% Flex
Full Remote
  • Remote from:United States
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Engineering Manager, Core Data Infrastructure

83% Flex
Remote: Full Remote
Work from: United States...

Offer summary

Qualifications:

10+ years of software engineering or data engineering, with 3+ management experience, Experience in building and scaling data-warehouses and complex data systems.

Key responsabilities:

  • Lead a team of data engineers to scale data pipelines and tools
  • Establish relationships and guide product roadmaps for data needs
  • Develop technical roadmap and set strategy for data space at Stripe
  • Mentor team across technical architecture and project management
Stripe logo
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Stripe

Information Technology & ServicesLarge

https://stripe.com/

1001 - 5000 Employees
HQ: San Francisco

Job description

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Your missions

Who we are
About Stripe

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 Infrastructure team, concentrates on creating accurate, up-to-date and reliable data sets while streamlining data accessibility for business insights. Our efforts extend to identifying and framing common data sets utilized throughout Stripe. You'll be in charge of  designing a metrics platform that generates unified insights, overseeing datasets and tools for business reviews, product analytics datasets, and a metrics platform enabling data-driven decision-making.

What you’ll do

We're seeking an experienced manager to expand our team that builds foundational data marts, pipelines, and data tooling supporting Stripe's business strategies.

Responsibilities
  • Grow a team of data engineers to continue to scale our data pipelines and tools, drive the collection of new data and the refinement of existing data sources, and improve our data model as the Stripe product evolves.
  • Act as a player/coach; still being close to the details of the work that the team is doing, but primarily supporting your team members to help amplify and multiply the effects of their individual work.
  • Build relationships with Stripe product teams and leadership, data analysts, and data scientists to generalize data needs and guide the roadmaps of our internal products.
  • You will set strategy, vision, and roadmap for the data space at Stripe.
  • Develop a technical roadmap to highlight key areas of improvement that are critical for the team to invest in internally to maximize our future execution velocity.
  • Mentor and grow your team across technical architecture, partnership with stakeholders, project management, and a strong internal product sense.
Who you are

We’re looking for someone who has experience building and scaling data-warehouses, improving instrumentation and data quality, building data infrastructure tooling and is interested in developing a highly impactful team.

Minimum requirements
  • 10+ years of software engineering or data engineering, including at least 3+ years of management experience.
  • You have experience building and managing data engineering teams. You have ideated, built products contributing to data infrastructure and driven company wide adoption of such products.
  • You have experience building APIs, products, and complex data systems at scale.
  • You have a degree in computer science, mathematics or any related field, or equivalent software engineering experience.
  • You have solid written and verbal communication skills and are skilled at precisely articulating user problems.
  • Beyond launching new products, you pay keen attention to constant product improvement, optimizing the delivery of a variety of small, medium, and large releases.
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Experience

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Hard Skills

Soft Skills

  • Great leadership and team-building skills
  • Strong communication and problem-solving abilities

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