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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Specialist - **Company:** Palni Incorporated - **Location:** Wooster, OH, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Access, Agile Methodology, Data Architecture, Data Governance, Data Profiling, Data Security, Meta-Data Management, Metadata Repositories, Scrum Methodology, Cloud Services, Data Lakes, Data Lineage, Collibra, Data Management, Guidewire, Databricks - **Published:** June 24, 2026 - **Apply:** https://www.dice.com/job-detail/88626afe-48cb-42fe-9574-bce7be000688 ## About the Role * 5+ years of hands-on Data Governance experience including framework design, stewardship operating models, policy enforcement * Proficiency in data cataloging, lineage, access control, and metadata management using data governance tools * Strong expertise in data quality management, data profiling, and standardization techniques across large-scale enterprise datasets, CDE identification Experience implementing Data Catalogs and Business Data Dictionaries at scale across multiple business domains. * Hands-on experience with data lineage design and documentation across multi-layer Lakehouse architectures (Bronze / Silver / Gold or equivalent). * Working knowledge of data security classification frameworks and access control enforcement in cloud data platforms (column masking, row-level security, tag-based policies). * Strong SQL proficiency and comfort working with structured data at scale; familiarity with Delta Lake or similar table formats preferred. * Experience operating within Agile delivery models, contributing to sprint planning, backlog grooming, and milestone-based governance delivery. * Strong client communication and stakeholder engagement skills; ability to translate technical governance concepts for business audiences. ## Description * Design and rollout of the client's Data Governance Framework covering Data Ownership & Stewardship, Data Standards & Quality, and Access, Security & Usage Controls. * Evaluate, recommend, and configure governance tooling aligned to the client's Databricks Unity Catalog ecosystem (native Unity Catalog features and other data governance tools). * Build and maintain the enterprise Data Catalog and Business Data Dictionary * Design and implement end-to-end Data Lineage tracking from Guidewire source systems through bronze, silver, and gold layers. * Define and enforce Data Quality rules and profiling standards across the Medallion Architecture layers; coordinate with the dbt transformation team for quality gate integration. * Establish and enforce Data Security classification and access control policies * Define governance KPIs * Collaborate with the Data Architecture, Engineering, and BI teams to embed governance controls into platform workflows without creating delivery bottlenecks. * Participate in client-facing governance reviews with client stakeholders (including the parallel governance workstream * Document governance policies, standards, and procedures into the client's governance knowledge base; deliver training and enablement for data stewards and owners. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)