Data Quality Leader

1 day ago

Hyderabad, Telangana, India beBeeDataQuality Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Opportunity: Data Quality Engineering Support

This role combines strategic leadership with technical execution, overseeing quality frameworks and ensuring data integrity across cloud-native platforms.

About the Position
  • This position involves leading the implementation of enterprise data quality frameworks, standards, and operating models to ensure high-quality data.
  • The ideal candidate will establish and track data quality KPIs, thresholds, and remediation SLAs across domains and business functions.
Data Quality Frameworks & Integration
  • The selected individual will design and oversee quality frameworks across GCP (BigQuery, GCS), AWS (Redshift, S3), and hybrid environments to ensure seamless data integration.
  • This role also involves integrating data quality validation and monitoring into data ingestion, transformation, and AI/ML pipelines.
  • A key aspect of this position is overseeing automation and observability for data quality using tools like Airflow, Cloud Composer, and CI/CD pipelines.
Quality Tools & Automation
  • The successful candidate will lead the evaluation, implementation, and expansion of data quality tools such as Dataplex, Lightup, or Collibra.
  • This role requires integrating data quality metrics and rules with Collibra or similar governance platforms for lineage, stewardship, and policy enforcement.
  • The individual must ensure quality rules are version-controlled, modular, and adaptable for new data domains.
Operations & Incident Management
  • This position involves overseeing enterprise processes for data anomaly detection, triage, root cause analysis, and resolution.
  • The selected individual will coordinate quality audits, incident reviews, and continuous improvement programs with data engineering and analytics teams.
  • This role ensures compliance with internal standards and external regulations such as GDPR, CCPA, HIPAA.
Team Leadership & Collaboration
  • The ideal candidate will lead a team of data quality engineers and analysts to implement and scale quality controls.
  • This role requires collaborating with data governance, data engineering, AI/ML, and domain owners to embed quality into product and platform development.
  • The successful individual will present strategic insights, trends, and risks to senior leadership and data councils.

To succeed in this role, you should have experience in data quality management, technical expertise in cloud platforms, and excellent leadership skills.

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