Manager - Data Quality Engineering

Job Title:

Manager - Data Quality Engineering, Product Engineering (M2)

Responsibilities include:

- Lead a team of data quality engineers supporting validation efforts across multiple data pipelines and domains.

- Define and drive automation strategies to validate complex ETL logic and business rules in platforms like Snowflake and Databricks.

- Collaborate with data engineers, analysts, and product managers to ensure the completeness, accuracy, and integrity of data across systems.

- Oversee the design and improvement of test automation frameworks and validation infrastructure.

- Manage hiring, performance, and career growth for team members while fostering a culture of engineering excellence.

Experience:

- 8+ years of hands-on experience in software testing or data engineering, with at least 2 years in technical leadership or management roles.

- Proven experience validating complex ETL pipelines, business logic, and data transformations across large-scale systems.

- Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues.

- Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake.

- Experience driving quality best practices within Agile teams and participating in cross-functional planning and delivery.

- Demonstrated ability to manage, mentor, and grow engineering talent, fostering a culture of accountability and collaboration.

- Bachelors degree in computer science, Engineering, or equivalent practical experience.