Data Governance Technical Consultant

• This role will work closely with data governance, architecture, and business stakeholders to establish scalable governance frameworks, metadata management standards, data quality processes, workflow automation, and integrations across a modern data ecosystem built on Azure and Databricks.

Requirement/Must Have:

• Experience implementing Data Catalog, Data Quality, Business Glossary, Data Lineage, and governance workflows.
• Experience designing and implementing metadata management frameworks and governance standards.
• Strong knowledge of metadata modeling, business glossaries, and data classification frameworks.
• Experience configuring role-based access control (RBAC) and governance workflows.
• Knowledge of data governance operating models and best practices.
• Experience with workflow automation and API-based integrations.
• Strong stakeholder management and communication skills.
• Experience working within Agile delivery environments.

Experience:

• Experience implementing metadata modeling and governance frameworks.
• Experience with workflow automation and governance process design.
• Experience supporting enterprise data governance programs.
• Experience defining governance standards, stewardship models, and operational processes.
• Experience with Dev, QA, Staging, and Production environment management.
• Experience with project planning, governance delivery roadmaps, and implementation frameworks.
• Experience collaborating with business, technical, and executive stakeholders.

Responsibilities:

• Support the development of the enterprise vision and strategy for the data governance platform.
• Define and execute foundational delivery plans for governance capabilities.
• Implement governance solutions aligned with enterprise data governance strategies.
• Design and implement metadata management frameworks and governance standards.
• Define and implement data quality requirements and monitoring processes.
• Configure and optimize data catalog, business glossary, lineage, and data quality capabilities.
• Design and implement governance workflows, stewardship processes, and issue management procedures.
• Configure governance structures, domains, communities, responsibilities, and asset models.
• Establish governance standards for metadata, naming conventions, classifications, and completeness requirements.
• Support integration of governance platforms with enterprise data environments and ecosystem tools.
• Provide guidance on automation, deployment processes, and environment management practices.
• Conduct current-state assessments and identify governance improvement opportunities.
• Develop governance documentation, workflows, user stories, and configuration specifications.
• Validate governance solutions and support testing activities.
• Deliver knowledge transfer sessions, training materials, and transition plans.
• Collaborate with stakeholders to support pilot implementations and enterprise rollout planning.
• Ensure long-term sustainability, scalability, and adoption of governance solutions.

Should Have:

• Experience with Databricks and Unity Catalog integration.
• Understanding of Lakehouse architecture.
• Knowledge of Medallion architecture concepts.
• Experience implementing enterprise data lineage solutions.
• Experience implementing data quality frameworks and monitoring programs.
• Familiarity with data privacy, compliance, and regulatory requirements.
• Knowledge of CI/CD concepts and deployment best practices.
• Experience establishing project governance frameworks and delivery methodologies.

Skills:

• Data Catalog.
• Data Quality Management.
• Business Glossary Management.
• Data Lineage.
• Metadata Modeling.
• Data Governance Frameworks.
• Workflow Automation.
• RBAC Configuration.
• API Integration.
• Databricks Integration.
• Unity Catalog.
• Data Stewardship.
• Data Classification.
• Governance Standards Development.
• Agile Delivery.
• Change Management.
• Documentation and Knowledge Transfer.
• Project Planning and Governance.

Qualification And Education:

• Bachelor s degree in Computer Science, Information Systems, Data Management, Information Technology, Engineering, or a related field preferred.
• Relevant data governance, data management, or enterprise architecture certifications are preferred.