Lead Generative AI Engineer – Agentic | Azure

Position: Senior Data Governance Consultant – Azure / Databricks
We are hiring on behalf of our client with a team of 400+ professionals, for a hands-on Senior Data Governance Consultant – Azure / Databricks to join its global Data Governance team.
Experience: 7+ Years
Location: Lahore / Karachi / Islamabad offices
Work Model: Remote/Hybrid (one-day work from office, rest is remote)
Role Overview
We are looking for a Senior Data Governance Consultant with 7–9 years of experience in Data Governance, Data Management, and cloud data platforms. The candidate should have strong hands-on experience with Microsoft Purview and/or Databricks Unity Catalog, along with expertise in data cataloguing, metadata management, data quality, classification, lineage, stewardship, and governance frameworks.
Key Responsibilities
Design and implement Data Governance frameworks, policies, standards, and operating models.
Implement and manage Microsoft Purview and/or Databricks Unity Catalog for data cataloguing, metadata, lineage, classification, and governance.
Develop and maintain business glossaries, data dictionaries, data domains, and Critical Data Elements (CDEs).
Establish data ownership, stewardship, and governance RACI models.
Define 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, access governance, and compliance requirements.
Collaborate with Data Engineering and Architecture teams to embed governance-by-design into data solutions.
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 & Technologies
7–9 years of experience in Data Governance, Data Management, Data Quality, Metadata Management, or Data Architecture.
Strong hands-on experience with Microsoft Purview and/or Databricks Unity Catalog.
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.
Azure Data Lake Storage Gen2 (ADLS Gen2)
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Databricks
Databricks Unity Catalog
Azure SQL
Power BI / Microsoft Fabric
Strong knowledge of data security, privacy, access governance, and compliance.
Strong stakeholder management, consulting, communication, and documentation skills.
Experience working with enterprise-scale data environments.
Preferred / Good To Have
Experience with alternative enterprise Data Governance/Data Catalog platforms such as Collibra, Informatica CDGC, Alation, or Atlan.
Experience with AWS Lake Formation and multi-cloud data governance.
Knowledge of DAMA-DMBOK / CDMP or similar data governance frameworks.
Microsoft Azure, Databricks, DAMA/CDMP, or related certifications.
Education
Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field.
Skills: data governance,data quality,databricks,classification,data architecture,data engineering,metadata,information security governance

Work arrangement
No