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