Data Governance

Cerebra; New Delhi, Gurugram District, Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Cerebra is seeking an experienced Data Governance professional in India to lead governance, data quality, and metadata management initiatives. The role focuses on data custodianship, lineage, and regulatory compliance across enterprise data flows.

Collaboration with stakeholders and ongoing governance improvements are key aspects. Ideal candidates have 4–6 years in data governance or related areas, strong SQL skills, and familiarity with Collibra and data privacy controls.

Qualifications

• 4 to 6 years of experience in Data Governance, Data Management, Data Quality, Data Operations, or related disciplines.
• Proficient with data governance concepts and tooling.
• Experience with data quality, metadata management, and data lineage.

Responsibilities

• Enterprise Data Governance and Data Custodianship.
• Data modeling and complex SQL-based data analysis.
• Data quality validation, reconciliation, and issue investigation.
• Metadata management and data lineage.
• Tracking and analysis of Data Quality (DQ) metrics.
• Governance frameworks, data residency, localization, encryption, and masking controls.
• Maintaining custodian registries and governance repositories.
• Audit evidence collection and regulatory compliance support.
• ETL, data integration, and enterprise data flows.
• Root cause analysis and resolution of recurring data issues.
• Operational monitoring, issue triage, service reliability, and change management.
• Stakeholder management, documentation, and communication.

Skills

Data Governance

SQL

Collibra

Python

MySQL

Job description

Data Governance
Location : Gurugram , New Delhi , Bangalore

Experience: 4 to 6 Years

Skills: Data Governance, SQL, Collibra, Python, MySQL

Job Description:
We are looking for a Data Governance professional with 46 years of experience in Data Governance, Data Management, Data Quality, Data Operations, or related disciplines.

Key Responsibilities:

• Enterprise Data Governance and Data Custodianship
• Data modeling and complex SQL-based data analysis
• Data quality validation, reconciliation, and issue investigation
• Metadata management and data lineage
• Tracking and analysis of Data Quality (DQ) metrics
• Governance frameworks, data residency, localization, encryption, and masking controls
• Maintaining custodian registries and governance repositories
• Audit evidence collection and regulatory compliance support
• ETL, data integration, and enterprise data flows
• Root cause analysis and resolution of recurring data issues
• Operational monitoring, issue triage, service reliability, and change management
• Stakeholder management, documentation, and communication