Data Engineering Manager

Peloton Peloton · Consumer · Headquarters, NY · Data Analytics

Peloton is seeking a Data Engineering Manager to lead the DataOps function, focusing on operational excellence and delivery of data initiatives. The role involves managing internal and offshore teams, partnering with stakeholders, and ensuring data ecosystem reliability, scalability, and governance. Key responsibilities include leading DataOps, mentoring teams, owning intake and execution processes, driving standards, and serving as an operational owner for data platforms like Airflow, Airbyte, and Looker. The role also coordinates incident management and helps shape the long-term operating model for data and AI initiatives.

What you'd actually do

  1. Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements
  2. Manage and mentor offshore engineering resources, providing technical guidance, performance feedback, and delivery oversight
  3. Partner with stakeholders across multiple business functions to gather requirements, prioritize work, and ensure successful delivery of data solutions
  4. Own intake, prioritization, and execution processes for DataOps requests and operational support activities
  5. Drive adoption of data engineering standards, ETL best practices, documentation requirements, and operational procedures

Skills

Required

  • 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

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
  • Advanced degree preferred

What the JD emphasized

  • managing the successful delivery of data initiatives through a combination of internal and offshore engineering resources
  • managing offshore engineering resources
  • managing distributed or offshore engineering teams