ReefPoint Group, LLC is a Service-Disabled Veteran Owned Small Business that was founded by Naval Academy graduates in 2008 who saw an opportunity to make a change and continue serving others to help ensure our nation’s Veterans and military servicemembers receive the finest healthcare and support services. We further this stewardship mission today while using proven, agile development and improvement methodologies to optimize processes and achieve desirable outcomes for a spectrum of Federal agencies. 

In the realm of smaller, boutique consulting firms, we strive to be the leader and choice for government agencies’ transformation and growth. We do this by continuing meaningful service, being a thought and innovation leader, and empowering transformation to create lasting, measurable impacts that positively affect the organizations we serve. Our people embody a culture of professionalism, commitment, service, innovation and respect for big ideas and creative solutions. Our team seeks out challenges and brings the expertise and innovation to solve them. We serve, we innovate, and we empower. 

Core Values of ReefPoint Group:

• Integrity in all things - Conduct yourself in an honest, ethical, and reliable manner when interacting with people and performing job duties
• Service before self - Treat people with respect, place the interest of the team above your own, create a culture of trust, and be empathetic in your approach
• Curiosity always - Listen to understand, understand the power of asking questions, be open to new ideas, and seek to always learn
• Boldness throughout - Trust in your ability, be creative in thought, demonstrate a willingness to be flexible, take ownership, and be a leader people are proud to follow

About the Role

We are seeking a Metadata Integration Engineer to build and maintain the pipelines, connectors, and automation that move metadata across enterprise data and governance platforms. This role focuses on hands-on development — writing code and APIs to harvest, transform, and synchronize metadata between source systems and platforms such as Collibra and Databricks Unity Catalog — while also applying AI-assisted automation to accelerate metadata documentation, classification, and glossary generation. The ideal candidate is a strong Python/SQL developer who is comfortable working across integration, data governance, and emerging AI tooling in an Agile delivery environment.

Key Responsibilities

• Develop and maintain metadata ingestion pipelines, connectors, and automation using Python, SQL, and REST APIs
• Integrate enterprise metadata platforms such as Collibra, Databricks Unity Catalog, or similar technologies with upstream and downstream data systems
• Build and support metadata harvesting, schema discovery, and lineage capture across enterprise data sources
• Design and implement AI-assisted automation for metadata extraction, documentation, classification, and business glossary generation using LLMs or similar technologies
• Apply prompt engineering techniques to tune AI-generated outputs, and build human-review checkpoints to validate AI-generated content before publication
• Troubleshoot pipeline failures, data quality issues, and integration errors across metadata workflows
• Collaborate with data architects, governance leads, and engineers to translate metadata management requirements into working integrations
• Participate in Agile ceremonies (sprint planning, standups, retrospectives) and deliver work incrementally as part of a cross-functional team
• Document integration logic, pipeline design, and automation workflows to support maintainability and audit needs

Required Qualifications

• 3–5 years of experience developing enterprise data or metadata integration solutions
• Experience developing metadata ingestion pipelines, APIs, connectors, and automation using Python, SQL, and REST APIs
• Experience integrating enterprise metadata platforms such as Collibra, Databricks Unity Catalog, or similar technologies
• Knowledge of metadata harvesting, lineage, schema discovery, and enterprise metadata management concepts
• Experience implementing AI-assisted automation for metadata extraction, documentation, classification, or business glossary generation using LLMs or similar technologies
• Familiarity with prompt engineering, AI APIs, and human review processes for AI-generated content
• Strong analytical, troubleshooting, and problem-solving skills with experience working in Agile delivery teams
• This position requires the employee to be a US Citizen and may require the ability to obtain a security clearance

Preferred Qualifications

• Experience supporting DoD, DHA, VA, or other federal agencies in secure, regulated environments

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