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Über diese Staff Engineer - Data Foundations Stelle bei Adyen

Adyen · Vor Ort · San Francisco

This is Adyen

Adyen provides payments, data, and financial products in a single solution for global customers like Meta, Uber, H&M, and Microsoft, making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. We create an environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support to truly own your career. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team, delivering innovative and ethical solutions that help businesses achieve their ambitions faster.

 

Data Foundations

Adyen is building a top-tier data team across San Francisco and Amsterdam. The goal is to accelerate data as our most differentiating and least replicable asset across our company. We are focusing on the foundations: the things that make data work as one thing. We decide how it fits together, what it means, and how anyone, human or AI, can trust and use it.

The team is new and sits at the heart of our engineering organization. You will join as one of its technical leaders. You will architect data and work on complex challenges across the company, multiplying your impact through the teams and people you work with. You win them over with good design, working prototypes and trust. By driving decisions through ambiguity, you will shape the next generation of Ayden's data.

You will be based in San Francisco and work closely with the Data Foundations lead in Amsterdam. You will have a lot of room to run your own week.

What you will do

  • Build greenfield. The mandate, the architecture and the standards are being written now. You help write them.
  • Design the foundation. Set the target architecture for shared data models, data contracts and the semantic layer that every domain builds on.
  • Give every metric one clear meaning. Work with domain teams so each core metric is defined once and owned by the domain that creates it. Variants get their own names.
  • Make data contracts the norm. Agree contracts between producers and consumers, with owners, versions and automatic checks. Consumers are never surprised.
  • Build lineage in from the start. Anyone can trace a figure to its source without asking the engineer who built the pipeline.
  • Help teams ship data products. Guide domain teams to publish datasets with a clear owner, schema and service level. They own the product. You own the standard.
  • Stay hands-on. Build prototypes, review designs and solve hard problems in the data stack.
  • Partner across Adyen. Product, Finance, Compliance, Platform Engineering and domain leads. Win the argument with data and a working prototype.
  • Grow other engineers. Mentor engineers in Data Foundations and in the domains. Help them solve problems with their own ideas, and raise the bar in design reviews.

Who you are

  • You have 10+ years in data engineering or data architecture, and you have worked at Staff scope. You have set direction for more than one team, and you are still hands on.
  • You pick your own problems. You see what needs to change and drive it to done without being told.
  • You have designed shared data models, data contracts or semantic layers that many teams build on, and you can defend the trade-offs.
  • You have changed what other teams built without any authority over them. You did it with data, prototypes and trust.
  • You explain hard ideas in plain words to engineers, finance people and executives. You write clearly.
  • You work well with Engineering, Product, Finance, Compliance and other stakeholders, across time zones.

 

This role's annual base salary range is $258–$367k, plus RSUs. To learn more about our compensation philosophy, please click here.

 

Diversity, Equity, and Inclusion at Adyen

We actively seek different perspectives to sharpen our ideas. Our unique culture is a product of our diverse backgrounds and experiences. No matter who you are or where you’re from, you’re welcome to be your true self at Adyen. 

If you need accommodations or support during the recruitment process to perform at your best, you’ll have the opportunity to let our team know in your application. We encourage people from all backgrounds and abilities to apply.

 

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

 

San Francisco 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

 

This role is based out of our [CITY NAME] office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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Wie sich dieses Gehalt für Staff Engineer vergleicht

Diese Stelle zahlt $312,500/yr — über der üblichen Spanne für Staff Engineer Stellen.

$196,830 dem Median $255,000 $402,500

Übliche Spanne $225,000–$300,000/yr, aus 754 vergleichbaren Staff Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Staff Engineer ansehen →

Über Adyen

Adyen is the financial technology platform of choice for leading companies. By providing end-to-end payments capabilities, data-driven insights, and financial products in a single global solution, Adyen helps businesses achieve their ambitions faster. With offices around the world, Adyen works with the likes of Meta, Uber, H&M, eBay, and Microsoft.

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