Senior Data Engineering Manager
Senior Data Engineering Manager
The Wikimedia Foundation is looking for an experienced Engineering Manager to join the Data Engineering Team. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users.
Working closely with other Technology and Product teams, as well as our community of contributors and readers, you will help deliver the next generation of data usage, analysis and access across all Wikimedia projects.
This role is responsible for key data engineering initiatives spanning our work in product analytics, machine learning and search.
Here are some examples of projects we have tackled that you may be excited to lead:
- Releasing public data to the Wikimedia community and the world at large. Our public data offerings are used all over the world by companies and research institutions big and small. A popular example is the Wikipedia Clickstream (a.k.a. Wikipedia's rabbit hole)
- Deploying an anomaly detection system to monitor Wikipedia accessibility over the world and detect possible outages (or censorship events)
- Implementing and driving adoption of the data catalog
- Migrating Oozie and other bespoke data pipelines to Apache Airflow and Spark 3
- Evangelize privacy conscious ways to compute metrics. Privacy is key to the work we do
We are a fully remote, internationally distributed team. We see each other in person 1-2 times a year during one of our off-sites (the last few have been in places like Berlin, Copenhagen and New York) or Wikimania, the annual international conference for the Wiki community.
Open to candidates located in timezones UTC-8 to UTC+2
You are responsible for:
- Manage a fully remote, globally-distributed team of data engineers
- Coach and develop the team to meet their individual and collective goals
- Help deliver data services to provide accessible, trusted data for insights, research and product reuse
- Partner closely with other teams and departments across the Wikimedia Foundation to deliver data solutions
- Work with product and program management to develop and implement the data engineering roadmap in an agile, iterative manner
- Balance innovation, evolution and addressing technical debt
- Review and advice in code changes and technical decisions made by team
- Help formalize and improve engineering processes
- Develop an inclusive culture that is innovative and collaborative, both within your team and in the broader organization
Skills and Experience:
- 4+ years of engineering management or technical leadership experience
- Experience working with diverse and remote teams
- Experience supporting multiple teams of data analysts
- Knowledge of best practices in the design of data warehouses and data products
- Deep understanding of challenges of delivering data products at scale
- Expert experience working with Data Engineering tools and frameworks, processes and methodologies
- Experience building data pipelines using tools such as Airflow, Spark, Gobblin, Yarn
- Experience with one or more programming languages:Python, Scala, and Java
- Experience with data query and manipulation languages including SQL
- Experience with data visualization, preferably Superset
- Experience with automated testing and continuous integration
- Solid judgment and ability to prioritize
- Strong customer focus
- Excellent written and verbal communication skills
- BS or MS degree, preferably in Computer Science, or equivalent work experience
Qualities that are important to us:
- Commitment to the mission of the organization and our values
- Commitment to our guiding principles
- Commitment to diversity, equity, and inclusion
- Cross-cultural sensitivity and awareness
- Collaborative working experience
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 $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.
As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.
The Wikimedia Foundation is a remote-first organization with staff members including contractors based in more than 50 countries. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$ 136,761 to US$ 217,146 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.
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@example.com or +1 (415) 839-6885.
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