Senior Data Governance Consultant
At a glance
Senior Data Architecture & Governance role at NorthBay Solutions. Mumbai · full-time.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Build governance frameworks, policies and operating models, then assess gaps and shape improvement roadmaps
- Set up Microsoft Purview to catalog data and manage metadata, classification, lineage and governance
- Create business glossaries and data dictionaries, and define data ownership and stewardship arrangements
- Put data quality rules, measures, monitoring and remediation processes in place
- Work with Azure engineering and architecture teams to build governance into data solutions and report findings to stakeholders
What you bring
- Seven to nine years in governance, data management, data quality, metadata management or data architecture
- Hands-on experience using Microsoft Purview
- A strong grasp of Azure data platforms and governance for cloud data
- Experience with cataloguing, metadata, lineage, classification, quality and business glossaries
- A bachelor’s degree in computer science, information systems, data management, engineering or a related area
Who this fits
This senior consulting role suits someone who can work across business, engineering, architecture, security and compliance stakeholders. You’ll need to turn governance needs into practical frameworks, controls and recommendations for enterprise data environments.
From the employer
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.
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