Senior Data Governance Consultant – Azure

Experience: 7–9 Years
Employment Type: Full-Time

Role Overview

We are looking for a Senior Data Governance Consultant with 7–9 years of experience in Data Governance, Data Management, and Azure data platforms. The ideal candidate will have strong hands-on expertise in Microsoft Purview and experience establishing governance frameworks, metadata management, data quality, data classification, lineage, and data stewardship across enterprise data environments.

Key Responsibilities

• Design and implement Data Governance frameworks, policies, standards, and operating models.
• Configure and manage Microsoft Purview for data cataloguing, metadata, classification, lineage, and governance.
• Develop and maintain business glossaries, data dictionaries, data domains, and critical data elements.
• Establish data ownership, stewardship, and governance RACI models.
• Define and implement data quality rules, KPIs, monitoring, and remediation processes.
• Implement and maintain data lineage and impact analysis across enterprise data platforms.
• Support data classification, sensitivity, privacy, security, and compliance requirements.
• Collaborate with Azure Data Engineering and Architecture teams to embed governance-by-design into data solutions.
• Work with Azure services including ADLS Gen2, Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, Power BI and/or Microsoft Fabric.
• Conduct data governance assessments, identify gaps, and develop governance roadmaps and improvement plans.
• Work closely with business stakeholders, data owners, stewards, architects, engineering, security, and compliance teams.
• Prepare governance documentation, dashboards, reports, and executive-level recommendations.

Required Skills

• 7–9 years of experience in Data Governance, Data Management, Data Quality, Metadata Management, or Data Architecture.
• Strong hands-on experience with Microsoft Purview.
• Strong understanding of Azure data platforms and cloud data governance.
• Experience with Data Cataloguing, Metadata Management, Data Lineage, Data Classification, Data Quality, and Business Glossaries.
• Understanding of Azure Data Lake, ADF, Synapse, Databricks, Power BI/Fabric.
• Knowledge of data security, privacy, access governance, and compliance.
• Strong stakeholder management, consulting, communication, and documentation skills.
• Experience working with enterprise-scale data environments is preferred.
• DAMA/CDMP, Microsoft Azure, or related certifications are an advantage.

Education

Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field.