Data Governance Analyst

Saxon GlobalCharlotte, NC

About The Position

Our client is seeking a Data Governance Consultant to support a federal agency in advancing its data governance capabilities. This role will focus on configuring and enhancing data governance platforms, developing integrations, and creating custom workflows to meet business requirements.

Requirements

  • U.S. Citizenship (ability to obtain DHS Public Trust clearance).
  • Bachelor's degree in an IT-related discipline.
  • 3+ years of experience with Collibra, DataHub or similar open-source Metadata, Data Catalog or Data Governance platforms.
  • Ability to do SQL joins and queries to ensure data is flowing correctly.
  • Deep understanding of data governance principles, including master/reference data management, data lineage, business process management, and data quality analysis.
  • Experience with data normalization/harmonization and system migration activities (remapping/crosswalking).
  • Ability to translate business rules into metadata structures and governance policies.

Nice To Haves

  • Familiarity with pgAdmin, Python, and VS Code.
  • Experience using Dagster.
  • Knowledge of data mesh concepts.
  • Experience with governance tool migrations.
  • Understanding of configuration and change control best practices.
  • Knowledge of BPMN 2.0.
  • Experience working with federal clients (DHS preferred).
  • Familiarity with AWS.
  • Ability to lead strategic planning initiatives and foster technology adoption.

Responsibilities

  • Architect and optimize components of data governance platforms (e.g., Collibra, DataHub) to align with agency needs.
  • Define and maintain metadata models, domains, communities, and business rules.
  • Facilitate integration testing across pipelines, applications, and systems.
  • Lead metadata migration and remapping activities, including developing crosswalks between platforms.
  • Perform data profiling to identify new, repurposed, or deprecated variables.
  • Ensure interoperability of governance assets (communities, domains, relationships, workflows).
  • Collaborate with data engineers to support metadata ingestion using SQL, Python, and APIs.
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