Data Quality Engineer Leader

3 days ago

Hyderabad, Telangana, India beBeeDataQuality Full time US$ 1,50,000 - US$ 2,00,000
Job Title: Data Quality Engineering Support Supervisor

About the Role:

We are seeking a skilled Data Quality Lead to join our team. As a key member of our organization, you will be responsible for defining and driving our enterprise-wide strategy for data quality management.

The ideal candidate will have a strong background in data quality, leadership skills, and experience working with cloud-native platforms such as GCP, AWS, BigQuery, and Redshift.

Primary Responsibilities:

  • Data Quality Strategy & Leadership:
    • Create and implement data quality frameworks, standards, and operating models.
    • Develop and track data quality KPIs, thresholds, and remediation SLAs across domains and business functions.
    • Cultivate a data quality mindset across the organization by partnering with data owners, stewards, and executives.
  • Cloud Platform & Data Ecosystem Integration:
    • Design and oversee quality frameworks across GCP (BigQuery, GCS), AWS (Redshift, S3), and hybrid environments.
    • Integrate data quality validation and monitoring into data ingestion, transformation, and AI / ML pipelines.
    • Oversee automation and observability for data quality using tools like Airflow, Cloud Composer, and CI/CD pipelines.
  • Tooling & Automation:
    • Evaluate, implement, and expand data quality tools (e.g., Dataplex, Lightup, Collibra, or custom frameworks).
    • Integrate data quality metrics and rules with Collibra or similar governance platforms for lineage, stewardship, and policy enforcement.
    • Ensure quality rules are version-controlled, modular, and adaptable for new data domains.
  • Operations & Incident Management:
    • Oversee enterprise processes for data anomaly detection, triage, root cause analysis, and resolution.
    • Coordinate quality audits, incident reviews, and continuous improvement programs with data engineering and analytics teams.
    • Ensure compliance with internal standards and external regulations.
  • Team Leadership & Collaboration:
    • Lead a team of data quality engineers and analysts to implement and scale quality controls.
    • Collaborate with data governance, data engineering, AI/ML, and domain owners to embed quality into product and platform development.
    • Presents strategic insights, trends, and risks to senior leadership and data councils.

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