> Markdown version of [/jobs/ext/4294081-data-governance-architect](https://www.wearedevelopers.com/jobs/ext/4294081-data-governance-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Architect - **Company:** Stellar Professionals - **Location:** Raleigh, NC, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Business Analytics Applications, Data Architecture, Data Governance, Metadata, Meta-Data Management, Data Streaming, Data Ingestion, Azure Data Factory, Data Strategy, Data Lineage, Data Management, Data Pipelines, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.dice.com/job-detail/93bdd216-782c-4729-9533-2de4c4063fc4 ## About the Role < data-path-to-node="10">Primary Skills (Must-Have) * Azure Databricks & Azure Data Factory * Data Governance & Metadata Management * Data Architecture & Data Modeling * Data Lineage & Mapping * Stakeholder Management & Business Translation < data-path-to-node="12">Secondary Skills (Preferred) * Data Quality & Validation * Data Ingestion & Cleansing Patterns * Power BI & Analytics Platforms * Database Administration Collaboration, * Minimum 3+ years of experience in enterprise data governance, lineage, data flow documentation, and translating business needs into data standards. ## Description We are seeking an experienced Senior Data Scientist to lead enterprise data strategy, governance, and modern data architecture initiatives. This role is pivotal in building foundational data management practices, establishing data lineage, and optimizing enterprise analytics platforms., * Enterprise Data Strategy & Governance: Establish standardized data management, metadata, and data quality frameworks across business units. * Data Flow & Lineage: Map end-to-end data pipelines, identify authoritative sources, and define critical enterprise business rules. * Architecture & Standardization: Collaborate with engineering and BI teams to standardise ingestion, transformation, and cleansing patterns.