
Senior Data Governance Consultant
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in India.
• Design and establish frameworks, policies, standards, and operating models for Data Governance.
• Configure and oversee Microsoft Purview for data cataloguing, metadata management, classification, lineage, and governance.
• Create and sustain business glossaries, data dictionaries, data domains, and essential data elements.
• Define data ownership, stewardship, and governance RACI models.
• Establish and execute data quality rules, KPIs, monitoring, and remediation processes.
• Implement and uphold data lineage and impact analysis across the organization's data platforms.
• Assist with data classification, sensitivity, privacy, security, and compliance obligations.
• Partner with Azure Data Engineering and Architecture teams to integrate governance-by-design into data solutions.
• Utilize Azure services including ADLS Gen2, Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, Power BI, and/or Microsoft Fabric.
• Perform data governance assessments, identify gaps, and formulate governance roadmaps and enhancement plans.
• Collaborate closely with business stakeholders, data owners, stewards, architects, engineering, security, and compliance teams.
• Prepare governance documentation, dashboards, reports, and recommendations for executive-level presentations.
• 7–9 years of experience in Data Governance, Data Management, Data Quality, Metadata Management, or Data Architecture.
• Strong practical experience with Microsoft Purview.
• In-depth understanding of Azure data platforms and cloud data governance.
• Experience with Data Cataloguing, Metadata Management, Data Lineage, Data Classification, Data Quality, and Business Glossaries.
• Familiarity with Azure Data Lake, ADF, Synapse, Databricks, and Power BI/Fabric.
• Knowledge of data security, privacy, access governance, and compliance.
• Excellent stakeholder management, consulting, communication, and documentation abilities.
• Experience in enterprise-scale data environments is preferred.
• DAMA/CDMP, Microsoft Azure, or similar certifications are advantageous.
• Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline.
• Competitive salary and performance-based incentives.
• Opportunities for professional development and certifications.
• Flexible working hours and remote work options.
• Comprehensive health and wellness programs.
• Collaborative and inclusive work environment.
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