Data Governance Consultant

Role & responsibilities

• Databricks
• PySpark
• Azure Data Factory (ADF)
• Python Scripting
• Ab Initio
• Ab Initio Metadata Hub (MHUB)
• Data Governance
• Data Quality
• Data Lineage
• Data Pipelines

Key Technical Responsibilities

• Design and implement Data Governance frameworks, policies, and stewardship models.
• Establish and maintain effective data quality and governance processes.
• Design, develop, and maintain robust data pipelines.
• Work with Databricks and PySpark for data processing and transformation.
• Develop and maintain data integration pipelines using Azure Data Factory.
• Use Python scripting for data processing and automation.
• Implement and manage data lineage and metadata management solutions.
• Work extensively with Ab Initio Metadata Hub (MHUB) for:
• Metadata management
• Data lineage
• Impact analysis
• Support data discovery, traceability, and governance across enterprise data environments.
• Ensure data assets are properly documented and governed

Data Governance Responsibilities

• Define and implement data governance standards and policies.
• Establish data ownership and stewardship models.
• Improve data quality, consistency, and reliability.
• Maintain data lineage and traceability across systems.
• Perform impact analysis for data and application changes.
• Collaborate with data engineering, architecture, business, and governance teams