Job Title: Manager - Data Quality Engineering, Product Engineering (M3)
Job Description:
**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 least2 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.
∙Bachelor’s degree in computer science, Engineering, or equivalent practical experience
