Data Governance Engineer

Data Governance EngineerArlington, VA (Priority 1) and St. Louis, MO (Priority 2)Experience6–12+ years in Data Governance / Metadata Engineering / Data Platform governanceHands-on experience with:Microsoft Purview configuration and operationsFabric governance concepts and controls (workspaces, domains, items, sharing)Strong understanding of:Data lineage, metadata models, business glossary, classificationIdentity/RBAC alignment for governance enforcementExperience designing integrations with enterprise governance tools (Atlan/Collibra/Alation preferred)Key ResponsibilitiesGovernance ArchitectureOperating Model EnablementTranslate enterprise governance policies into implementable controls across Fabric.Define governance blueprints for:Domain-based governance (Data Mesh/data products) or centralized CoE modelsData product certification/endorsement workflowsStewardship model (owners, custodians, data stewards), RACI mappingPurview SetupFabric Governance ConfigurationConfigure Microsoft Purview for enterprise usage:Scans, collections, role assignments, access controlsClassification rules, sensitivity labels, glossary, lineage settingsEnable Fabric integration outcomes such as:Asset discovery and catalog publishingLineage capture (as supported by sources and Fabric items)Metadata enrichment and lifecycle tagging for data productsAtlan Integration (Enterprise Governance Tool Alignment)Design and implement integration betweenPurview and Atlan(as per enterprise tool strategy):Metadata synchronization patternsLineage strategy and reconciliation (Fabric lineage vs enterprise lineage)Business glossary alignmentDefine integration operating model:Sync frequency, mapping rules, exception handlingHandling duplicates, naming standards, asset identity resolutionCollaborate with governance stakeholders to ensure Atlan reflects Fabric assets accurately and consistently.Policy EnforcementControls ImplementationImplement governance controls such as:Data classification, sensitivity labels, and policy taggingCertification/endorsement gates for promoted data productsData sharing guardrails and approval workflowsWork with Security/Platform teams to align:Entra ID group-driven RBAC and access review processesCompliance needs (retention, auditing, data access reporting)Metadata Management, Data Quality GovernanceData ContractsBuild and maintain standards:Naming conventions, domain taxonomy, data product templatesImplement data product documentation templates and data contracts:Schema expectations, SLAs, quality rules, ownersIntegrate with engineering teams to integrate Data QualityMetadata within pipelines (metadata-driven approach).Good-to-HaveKnowledge of privacy/security frameworks (ISO, SOC2 concepts, GDPR-like principles)Experience implementing data quality governance tooling and scorecardsFamiliarity with Data Mesh governance patterns and data product operating models