Senior Engineer, Data Management
Open to hire New York, NY & Bay Area, CA The Opportunity
At Peloton, we treat Data as Product - a valuable asset and a critical piece of our decision making process. The mission of the Data Management team under the Data Platform department is to play a leadership role in enabling teams to catalog, trace, discover and consume trusted golden datasets in a secure manner. Our core guiding principles are 1) enable data as a product 2) ensure data reliability and 3) optimize for data productivity.
We are looking for a Senior Engineer to join our Data Management team under the Data Platform department to own and provide technical expertise and leadership around federated data governance, discovery and lineage. As a part of the Data Management team, you will be working across a wide range of problems in the data catalog, discovery, lineage and privacy space. Some of the few challenges you will work on in your first year are: How do we catalog and provide discoverability of all datasets including golden datasets available across the company? How do we categorize and certify a golden dataset as meeting the quality standards? How do we build a lineage graph of datasets? How do ensure that PII datasets meet compliance requirements? How do we build an access control layer on top of our data lake to enable decentralized teams to share their data?
You Will
- Be an owner and subject matter expert on one or more workstreams under Data Management viz. Business Continuity & Disaster Recovery, Cost Optimization, Data Cataloging & Metadata Management, Data Discovery, Data Lineage, Data Privacy & Compliance, Data Security & Access Control
- Write technical specifications and efficient, high quality, well-tested code.
- Enable data productivity by building out data services and a developer portal providing a one-click solution for product teams to interact with data infrastructure.
- Coach and mentor engineers across the engineering team to build a data culture.
You Have
- You have 5+ years of experience in engineering especially data management, data lakes and data catalogs
- You have experience in a cloud environment like AWS and familiarity with tools like Glue Catalog and Data Lake Formation.
- You are passionate about privacy, data lakes, data catalogs, metadata management, data security and cost optimization
- You have experience building out data lakes and data catalogs.
- Proven experience working with rapid product development in an agile environment is preferred
- You are pragmatic without compromising on software quality and standards.
ABOUT PELOTON:
Peloton uses technology + design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. We have reinvented the fitness industry by developing a first-of-its-kind subscription platform. Seamlessly combining hardware, software, and streaming technology, we create digital fitness and wellness content and products that Members love. In 2020 Peloton committed to becoming an antiracist organization with the launch of the Peloton Pledge. Learn more, here.
“Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. In order to be the best version of Peloton, we are deeply committed to building a diverse workforce and inclusive culture where all of our team members can be the best version of themselves. This work has no endpoint; it is the constant work of running an organization that strives to reach its full potential. As a first step in our commitment, we announced the Peloton Pledge to invest $100 million over the next four years to fight racial injustice and inequity in our world, and to promote health and wellbeing for all, from the inside out.
Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email: [email protected]
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