Data Governance & Metadata/Catalog Consultant

Resolution Technologies; Atlanta (GA); On-site; USD 120,000 - 190,000; Full time

Job summary

Resolution Technologies, Inc. seeks a Data Governance & Metadata/Catalog Consultant to architect and implement an enterprise-wide metadata management and governance framework in Atlanta. You'll establish metadata harvesting, end-to-end data lineage, glossaries, and classification systems across domains.

Lead stewardship workflows, drive data certification, and enable data discovery by collaborating with business owners and technical custodians to ensure trusted, compliant data assets.

Qualifications

• Extensive hands-on experience designing and operating enterprise-wide data governance and data asset tracking.
• Experience configuring data catalogs, glossaries, and classification strategies across domains.
• Strong communication to bridge technical and business teams and drive governance programs.

Responsibilities

• Design, configure, and deploy data catalog structures and glossaries to enable data discovery and ownership.
• Set up automated metadata harvesting schedules and build end-to-end data lineage models.
• Implement data classification to tag and protect sensitive data elements (PII, CDEs).
• Establish automated workflows for data stewardship, approvals, and data certification processes.
• Facilitate workshops with stakeholders to align metadata standards and governance policies.

Skills

Governance Frameworks

Data Cataloging

Metadata Harvesting

Data Lineage

Stakeholder Engagement

Tools

Snowflake Horizon

Microsoft Purview

Alation

Collibra

Informatica

EDC/CDGC

Job description

Data Governance & Metadata/Catalog Consultant

Position Overview

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.

Key Responsibilities

• 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.

Required Skills & Qualifications (Must Have)

• 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.

Preferred Skills (Nice to Have)

• 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.