Senior Data Governance Consultant – Azure
At a glance
Senior Data Architecture & Governance role at NorthBay Solutions. Lahore · full-time.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Put governance policies, standards and operating models in place, then apply them across enterprise data environments
- Set up Microsoft Purview to support cataloguing, metadata, classification, lineage and governance
- Build glossaries, dictionaries and data domains, then assign ownership and stewardship responsibilities
- Create data quality rules and KPIs, track results, and guide remediation
- Review governance gaps, shape improvement roadmaps, and deliver reports and recommendations to stakeholders
What you bring
- Seven to nine years working in governance, data management, quality, metadata or data architecture
- Hands-on Microsoft Purview skills and a solid understanding of Azure data platforms and cloud governance
- Knowledge of cataloguing, metadata, lineage, classification, quality controls 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 you if you can work with business stakeholders, data owners, stewards and technical teams. The role is hybrid and based in Lahore, Karachi or Islamabad.
From the employer
Senior Data Governance Consultant – Azure
Location: Lahore / Karachi / Islamabad, Pakistan
Work Model: Hybrid
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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