Peloton
Data Engineering Manager
4d ago
USASenioretlairflowairbytelookerdataops
Lead the DataOps function within the Data Engineering team to drive operational excellence and manage delivery of data initiatives.
Responsibilities
- Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across our data platforms while managing the successful delivery of data initiatives through a combination of internal and offshore engineering resources.
- You will work closely with business stakeholders, engineering teams, analytics partners, and platform owners to ensure our data ecosystem remains reliable, scalable, and well-governed. This role combines technical leadership, operational management, and stakeholder engagement, to help support Peloton's growing data and AI needs.
- This role will be hybrid, not remote.
Requirements
- 5+ years of experience in data engineering, analytics engineering, software engineering, or related technical roles
- 2+ years of experience leading technical teams, managing engineering projects, or coordinating offshore/vendor resources
- Strong understanding of modern data engineering architectures, ETL/ELT patterns, and data platform operations
- Hands-on working experience with data orchestration and integration platforms such as Airflow, Airbyte, DBT, or similar technologies
- Proven ability to translate business requirements into technical solutions and coordinate delivery across multiple stakeholders
- Experience designing and supporting monitoring, alerting, incident response, and operational support processes
- Excellent communication, prioritization, and organizational skills with the ability to manage competing priorities
- Strong SQL and data analysis skills, ideally with BigQuery
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree preferred
Nice to have
- Experience administering or supporting compliance auditing for Looker, BigQuery, or other modern cloud analytics platforms
- Experience managing distributed or offshore engineering teams
- Experience building and scaling DataOps or platform operations functions
- Experience implementing data quality, observability, lineage, or governance solutions
- Experience supporting AI, machine learning, or self-service analytics initiatives
- Experience working in Agile/Scrum environments and managing cross-functional technical programs
- #LI-DD1 #LI-Hybrid
- The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.
- As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:
- Medical, dental and vision insurance
- Generous paid time off policy
- Short-term and long-term disability
- Access to mental health services
- 401k, tuition reimbursement and student loan paydown plans
- Employee Stock Purchase Plan
- Fertility and adoption support and up to 18 weeks of paid parental leave
- Child care and family care discounts
- Free access to Peloton Digital App and apparel and product discounts
- Commuter benefits and Citi Bike Discount
- Pet insurance and so much more!
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Other
- Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements
- Manage and mentor offshore engineering resources, providing technical guidance, performance feedback, and delivery oversight
- Partner with stakeholders across multiple business functions to gather requirements, prioritize work, and ensure successful delivery of data solutions
- Own intake, prioritization, and execution processes for DataOps requests and operational support activities
- Drive adoption of data engineering standards, ETL best practices, documentation requirements, and operational procedures
- Serve as an operational owner for key data platforms, including Airflow, Airbyte, and Looker, owning platform governance activities such as user access reviews, compliance reviews, audit support, and operational controls
- Coordinate incident management, root cause analysis, monitoring, alerting, and operational readiness efforts across the data platform
- Help shape the long-term operating model for the Data Engineering team as Peloton continues to scale its data and AI initiatives
- Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.
- Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim stat
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