Data Engineering Manager

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