Key Accountabilities

- Define and implement data quality rules, thresholds, exception handling, reconciliation checks, issue workflows, and scorecards across priority datasets.
- Configure Dataplex or equivalent governance capabilities for cataloging, discovery, metadata management, business glossary mapping, lineage, domains, zones, and policy controls.
- Partner with architects and engineers to embed quality checks, lineage capture, privacy controls, retention requirements, access governance, and compliance requirements into delivery lifecycle.
- Maintain governance process documentation including data ownership, stewardship roles, issue management, metadata standards, data certification, and audit evidence.
- Track data quality incidents, root causes, remediation ownership, recurring patterns, and governance maturity improvements.

Core Skills & Tools
- Data governance, metadata management, data quality frameworks, cataloging, lineage, stewardship processes, compliance controls, and Dataplex concepts.
- SQL, profiling,



reconciliation, rule design, issue workflow management, and ability to interpret data quality patterns.
- Understanding of privacy, access control, audit, retention, and enterprise data management practices.

Expected Deliverables
- Data quality rule catalog, profiling reports, DQ scorecards, governance process documents, metadata standards, glossary mapping, and lineage evidence.
- Dataplex/catalog configuration inputs, issue tracker, remediation reports, compliance checklist, and governance operating model.

Experience / Profile Fit 6+ years in data governance, data quality, metadata management, or compliance-oriented data programs. Experience with cloud governance tools is preferred.

Key Interfaces

Data owners, stewards, architects, data engineers, BI teams, security/compliance teams, business analysts, and program leadership.

📌 Data Governance and Data Quality specialist (Bengaluru)
🏢 Tech Mahindra
📍 Bengaluru