This role focuses on data governance, including metadata management, data lineage development, and data quality rule implementation to support enterprise data initiatives. The position involves working in a hybrid environment to ensure effective data governance practices, improve data quality, and enable data-driven decision-making. The job is open to candidates within the 100 miles radius of Richmond, VA.
Key Responsibilities
Maintain and administer business glossaries and data catalogs
Develop and maintain end-to-end data lineage diagrams
Identify and manage metadata for critical data elements
Author and implement data quality rules, thresholds, and validation checks
Support data modeling and taxonomy development
Perform metadata and data quality audits and resolve inconsistencies
Collaborate with cross-functional teams to support data governance initiatives
Utilize tools such as Power Platform and JIRA for automation and tracking
Document data classification and sensitivity standards
Provide support and troubleshooting for metadata-related issues
Required Skills (with Years)
Data Governance (metadata, lineage, glossary, data quality rules) 5+ years
Metadata Management & Data Lineage Development 3 5 years
SQL & Data Infrastructure Understanding 3+ years
Communication & Organizational Skills 5+ years
Mentoring/Coaching Data Stewards 5+ years
Preferred Skills
Experience with data governance tools (Purview, Informatica, Alation, Collibra) 2+ years
Knowledge of data governance frameworks (e.g., DAMA-DMBOK) 2+ years
Experience with data quality tools and profiling platforms
Experience with Power Platform
Experience in big data or data security environments
Preferred Certifications
Azure Certifications
Data Governance or Data Management Certifications
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