Data Engineering Manager

ABOUT THE ROLE

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.

YOUR DAILY IMPACT AT PELOTON

• 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

YOU BRING TO PELOTON

• 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

BONUS

• 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

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