Data Governance Quality Analyst

TalentBridge · India

CONTRACT TO HIRE (6-MONTH CONTRACT, THEN IT WILL CONVERT TO FULL-TIME PERMANENT)

ONLY APPLY IF YOU CAN START ASAP ( 17/24TH AUGUST START DATE )

Data Governance & Quality Analyst (Remote)

Location: India

Reports To: Sr. Manager, Data Governance & Quality

Position Overview

We are seeking a hands-on Data Governance & Quality Analyst to ensure data is accurate, complete, timely, consistent, and trustworthy across ingestion, transformation, governance, and reporting.

This is an individual contributor role. The ideal candidate has strong hands-on experience with data governance, data quality, Microsoft Purview, SQL, Microsoft Fabric, Azure, and Power BI, and has worked in a lean or collaborative team where they owned governance and quality activities rather than supporting only a narrow workflow.

The candidate should be comfortable working directly with governance tools, investigating data-quality issues, supporting Purview configuration and implementation, onboarding data sources, and working closely with Data Engineering and business teams.

Key Responsibilities

Data Quality & Governance

• Define and implement data quality rules covering completeness, accuracy, consistency, uniqueness, conformity, and timeliness across Azure Data Factory and Microsoft Fabric pipelines.
• Monitor data quality across Bronze, Silver, and Gold layers and investigate anomalies, duplicates, missing data, and reconciliation issues.
• Perform source-to-target and cross-system reconciliation, including payroll, GL, invoice, sales, and inventory data.
• Support direct-to-gold feeds with handshake, reconciliation, and audit-trail controls.
• Define quality SLAs, acceptance criteria, and governance requirements for new data sources.
• Perform root-cause analysis and work with Data Engineers and business stakeholders to resolve data-quality issues.
• Validate PII protection, encryption, and Power BI Row-Level Security (RLS) controls.

Microsoft Purview – Governance & Implementation

• Work hands-on with Microsoft Purview to maintain the enterprise data catalog and governance environment.
• Participate in the configuration and implementation of data source registration, scanning, classifications, metadata, business glossary, lineage, and sensitivity labels.
• Maintain data catalog, metadata, lineage, glossary, and classification requirements as data sources and schemas evolve.
• Support troubleshooting and resolution of Purview-related issues in collaboration with technical teams.
• Ensure governance controls align with PII/PCI requirements and business standards.

Important: Candidates should have meaningful hands-on experience with Purview and should be able to explain what they personally configured, implemented, maintained, validated, or managed. Experience limited to simply running reports or consuming an already-established Purview environment is not sufficient.

Power BI, MDM & Reporting

• Build and maintain data quality scorecards and KPI dashboards in Power BI and/or Microsoft Purview.
• Perform reporting validation and reconciliation before production release.
• Ensure reporting attributes are aligned with business glossary definitions in Purview.
• Support master data governance in Profisee, including matching, merging, survivorship, and golden-record management.
• Ensure mastered identifiers propagate correctly through downstream data layers and applications.

Collaboration & Ownership

• Work closely with Data Engineers, Business Analysts, Data Stewards, and business stakeholders.
• Translate technical data-quality findings into clear business recommendations.
• Independently own assigned governance and quality workstreams from investigation through resolution.
• Maintain audit trails for mapping changes, manual overrides, vendor setups, and other governance activities.
• Support continuous onboarding of new data sources in a high-volume, rapidly changing data environment.

Required Qualifications

Individual Ownership Requirement

Candidates should be able to clearly explain:

• What they personally configured, implemented, validated, or managed.
• What governance and data-quality activities they personally own.
• What responsibilities belong to them versus Data Engineering or other team members.
• How they have worked independently within a small or cross-functional team.

Candidates whose experience is primarily people management, oversight, reviewing reports, or consuming governance tools configured entirely by others may not be successful in this role.

• Bachelor's degree in Information Systems, Data Management, Computer Science, or related field.
• 4–6 years of recent, hands-on experience in Data Governance, Data Quality, Data Management, or a related field.
• Strong hands-on experience with Microsoft Purview and participation in Purview configuration/implementation.
• Strong SQL skills for data profiling, quality rules, reconciliation, and root-cause analysis.
• Experience with data quality frameworks, profiling, validation, and scorecards.
• Experience with Power BI for data-quality dashboards and reporting.
• Working knowledge of Microsoft Fabric, including Lakehouse and data engineering workloads.
• Experience with Azure Data Factory, Azure SQL, Azure Data Lake/Lakehouse, or related Azure data services.
• Understanding of Medallion Architecture (Bronze/Silver/Gold) and direct-to-gold data flows.
• Experience working with multiple data sources in a high-volume data environment.
• Ability to independently investigate and resolve data governance and quality issues.
• Experience working in a lean or cross-functional team with broad individual ownership, rather than a highly siloed role.
• Strong written and verbal communication skills.