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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Collibra Implementation Engineer - **Company:** REEF POINT GROUP INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Computing Platforms, Python (Programming Language), Metadata, Meta-Data Management, Metadata Standards, SQL Databases, Data Streaming, Enterprise Data Management, Data Classification, Build Management, Data Lineage, Collibra, Data Management, Restful APIs, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b25e1d949846aa1e ## About the Role * 7+ years of experience implementing enterprise metadata management and data catalog solutions, including 3+ years of hands-on Collibra implementation * Expertise configuring Collibra Data Catalog, Business Glossary, Lineage, Metadata Import, and native harvesting capabilities * Experience integrating Collibra with Databricks Unity Catalog and other enterprise data platforms using native connectors, APIs, and automation * Strong knowledge of metadata management, lineage, business glossaries, data classification, and enterprise metadata standards * Demonstrated ability to evaluate native platform capabilities, identify gaps, and implement targeted custom automation where required * Experience configuring metadata ingestion, synchronization, validation, and documentation workflows in enterprise environments * Familiarity with Python, Java, SQL, and REST APIs to extend or integrate Collibra capabilities * Experience leading technical implementations and collaborating with architects, engineers, data stewards, and stakeholders * This position requires the employee to be a US Citizen and may require the ability to obtain a security clearance Preferred Qualifications * Collibra Ranger, Expert, or Professional certification * Experience supporting DoD, DHA, VA, or other federal agencies in secure, regulated environments ## Description We are seeking an experienced Senior Collibra Implementation Engineer to lead the implementation and configuration of enterprise metadata management and data catalog solutions. This role is responsible for designing, building, and maintaining Collibra-based governance capabilities - including data catalog, business glossary, and lineage - and integrating them with enterprise data platforms such as Databricks Unity Catalog. The ideal candidate combines deep Collibra platform expertise with hands-on technical skills to close gaps where native capabilities fall short, and can operate effectively in secure, regulated environments., * Configure and administer Collibra Data Catalog, Business Glossary, and Lineage modules, including domain, community, and asset-type setup aligned to organizational governance models * Design and implement metadata ingestion, synchronization, validation, and documentation workflows across enterprise data sources * Integrate Collibra with Databricks Unity Catalog and other enterprise data platforms using native connectors, REST APIs, and metadata import/harvesting capabilities * Evaluate native platform capabilities against business requirements, identify gaps, and design and build targeted custom automation (Python, Java, SQL) to extend Collibra functionality * Maintain and expand data lineage mappings to ensure traceability of data flows from source to consumption * Partner with data stewards and business stakeholders to build out and govern the business glossary, ensuring accurate definitions, ownership, and classification * Lead technical implementation efforts, collaborating closely with data architects, engineers, data stewards, and stakeholders throughout the project lifecycle * Troubleshoot metadata ingestion and harvesting jobs, monitor data quality within the catalog, and maintain implementation documentation for audit and support purposes * Ensure metadata classification and governance practices align with enterprise and regulatory standards ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Carl Lapierre - Exploring Advanced Patterns in Retrieval-Augmented Generation](https://www.wearedevelopers.com/videos/1235-carl-lapierre-exploring-advanced-patterns-in-retrieval-augmented-generation) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)