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Wikimedia Foundation

Director of Data

Reposted 8 Days Ago
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Remote
Hiring Remotely in USA
179K-279K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in USA
179K-279K Annually
Senior level
Lead data engineering, search, experimentation, and SRE efforts, ensuring production readiness, managing teams, and driving technical oversight for large-scale data systems.
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The Wikimedia Foundation, the non-profit that hosts Wikipedia and its sister projects, is seeking a deeply technical, outcome-oriented Director of Data to lead our work across data engineering, search, experimentation, and data-related site reliability engineering (SRE).

Wikipedia is a top-ten website that serves audiences in over 300 languages and reaches over a billion people each month. Our data systems power everything from product analytics and machine learning to product features, community tools, and public datasets used by researchers worldwide. In this role, you’ll be accountable for shipping reliable, privacy-respecting data products and platforms and for maintaining a high technical bar of how we design, build, operate, and evolve them in the open.

You’ll manage managers and principal ICs across multiple teams (Data Engineering, Search, Experimentation, and Data SRE). You’ll set clear, realistic roadmaps; focus on production-readiness; and provide strategic technical oversight while being comfortable unpacking and researching deep technical problems and solutions. You have enough experience to know what “good” looks like for petabyte-scale data lakes, event pipelines, and search and experimentation stacks, and scale the best practices for how we plan, build, and operate production systems.

Please note: We will only consider hiring within UTC-8 to UTC+3 due to the geographical location of the team.

We’d like you to:

  • Ship safely and incrementally. Drive the work across data engineering, search, experimentation, and data SRE in close partnership with product management to align technical execution with user needs and priorities. Balance velocity with reliability, involving stakeholders both inside Wikimedia and the larger volunteer community. 
  • Develop people and teams. Manage managers, coach senior ICs, scale hiring for a diverse, international, remote-first organization, and foster a collaborative, mission-aligned culture.
  • Provide technical strategy and oversight. Set architectural direction grounded in experience with event-based architectures, data ingestion, modeling, freshness/accuracy SLOs, data governance, privacy by design principles, and cost efficiency.
  • Partner effectively with Product Management. Collaborate with our Group Product Manager for Data Platform and senior PMs to balance technical implementation with diverse user needs. Navigate priority trade-offs through healthy debate and shared accountability.
  • Be an operational multiplier. Identify and share patterns across teams that reduce toil and let ICs focus on what they do best.

You are:

  • Deeply technical with strong judgment. You can read design docs and PRs, spot missing edge cases or constraints, and make calls grounded in industry best practice.
  • Biased towards shipping regularly and with confidence. You break work into safe, incremental releases with a crisp definition of done, unblock teams quickly, and measure outcomes.
  • Operationally focused. You set and hold SLOs/error budgets, collaborate with stakeholders, manage vendor relationships, and treat incidents as opportunities to automate and harden systems.
  • Collaborative across functions. You build strong partnerships with product management, research, analytics, and product teams to achieve shared outcomes.
  • Mission driven. You balance product impact with privacy and transparency, partnering with volunteers to build in the open for a global, multilingual community.

Skills and Experience:

  • 8+ years of engineering leadership with 3+ years managing managers across data-heavy backend teams (or an equivalent track record of shipping production data systems at internet scale).
  • Track record of shipping production data systems at massive scale.
  • Hands-on experience with relevant open source tech stacks (e.g. Kubernetes, Kafka, Spark, Flink, Hadoop, Ceph, Airflow).
  • Ability to hire, coach, and lead globally distributed teams.

Additionally, we’d love it if you have:

  • A track record of open source participation.
  • Fluency or familiarity with languages in addition to English.
  • Experience as a member of a volunteer community.
About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is $179,376 to $279,262 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location. 

*Please note that we are currently able to hire in the following countries: Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Kingdom, United States of America and Uruguay.  Our non-US employees are hired through a local third party Employer of Record (EOR). 

We periodically review this list to streamline to ensure alignment with our hiring requirements. 

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at [email protected] or +1 (415) 839-6885.

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Top Skills

Airflow
Ceph
Flink
Hadoop
Kafka
Kubernetes
Spark

Wikimedia Foundation San Francisco, California, USA Office

1 Montgomery Street, San Francisco, CA, United States, 94104

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