Manager - Data Quality Engineering, Product Engineering

Role & responsibilities

• Focus on major areas of work, typically 20% or more of role % of
• Time
• Lead and mentor a team of Data Quality Engineers supporting multiple data teams and projects. Define team goals, manage performance, and guide career growth- 30%
• Drive test automation strategy across data pipelines (e.g., Snowflake, Databricks, Airflow). Define validation frameworks, regression practices, and CI/CD integration- 30%
• Collaborate with Data Engineers, Product Managers, and Analysts to ensure data correctness, integrity, and trustworthiness at every stage of the pipeline- 20%
• Actively contribute to the development and improvement of testing frameworks and engineering processes to scale quality efforts- 10%
• Participate in hiring efforts and contribute to long-term team planning and cross- 10%

Preferred candidate profile

• 8+ years of hands-on e...