Data Governance & Metadata​/Catalog Consultant

We are seeking a highly skilled Data Governance & Metadata/Catalog Consultant to lead the architecture, design, and implementation of our enterprise-wide metadata management and data governance framework. In this role, you will establish critical governance structures—including metadata harvesting, end-to-end data lineage, business glossaries, and data classification systems—across multiple business domains. You will play a pivotal role in enabling data discovery, operationalizing data stewardship, and driving data certification processes to ensure the organization's data assets are trusted, compliant, and easily accessible.

• Catalog & Structure Implementation:
  Design, configure, and deploy comprehensive data catalog structures and business glossaries across diverse organizational domains to simplify data discovery and asset ownership.
• Metadata Harvesting & Lineage:
  Set up and manage automated metadata harvesting schedules; build and maintain end-to-end data lineage models to provide clear visibility into data flows, transformations, and downstream usage.
• Data Classification & Privacy:
  Implement robust data classification mechanisms to automatically identify, tag, and protect critical data elements (CDEs) and sensitive information (e.g., PII).
• Stewardship & Certification:
  Establish and configure automated workflows for data stewardship, definition approvals, and formal data certification processes to guarantee data quality and trustworthiness.
• Cross-Domain
  
  Collaboration:
  
  Facilitate workshops with business stakeholders, data owners, and technical custodians to align metadata standards, document data governance policies, and define roles/responsibilities via RACI matrices.

• Core Governance Frameworks:
  Extensive hands-on experience designing and operating enterprise-wide data governance, business glossaries, data asset tracking, and data classification strategies.
• Data Cataloging & Metadata Tooling:
  Expert-level mastery in configuring, administering, and integrating at least three or more of the following key technologies:
  Snowflake Horizon Microsoft Purview Alation Collibra Informatica EDC / CDGC
• Technical Lineage Extraction:
  Proven tracking record of configuring automated metadata harvesting scanners and parsing complex data pipelines to build technical and business lineage.
• Communication & Engagement:
  Superior consulting and communication skills, with a demonstrated ability to bridge the gap between technical data engineering teams and business unit leaders.

• Data Product Governance:
  Practical understanding of decentralized data architectures (e.g., Data Mesh) and experience governing "Data as a Product," including managing data contracts, product lifecycle governance, and consumer consumption metrics.