Data Modeler

We have a position for a Data Modeler with one of our clients in Remote for an initial contract duration of 10 months. s and all those authorized to work in the US are encouraged to apply.

Position Title: Data Modeler

Summary: The Client is seeking an experienced Data Modeler to lead the design and development of enterprise-scale data models that support cross-functional initiatives across healthcare and human services domains. This role requires deep expertise in conceptual, logical, and physical data modeling, with a strong understanding of public sector data environments and healthcare systems. The ideal candidate will bring a strategic mindset, technical proficiency, and a collaborative approach to unify data across complex systems and stakeholders.

Key Responsibilities:

• Collaborate with business and technical teams to identify data and information needs.
• Design and develop conceptual, logical, and physical data models that support enterprise-wide integration and reporting.
• Create and maintain a comprehensive information architecture blueprint, including metadata, data flows, and lineage.
• Standardize and unify data definitions across disparate systems, departments, and reporting functions.
• Analyze existing systems and business processes to determine structural data requirements.
• Facilitate working sessions with business leads, SMEs, and IT teams to gather requirements and validate models.
• Define and socialize target-state data models and architecture with key stakeholders.
• Implement data governance practices, including standards, ownership matrices, and quality controls.
• Support the implementation of physical data models and optimize for performance, scalability, and usability.

Required Qualifications:

• 3 to 5 years of hands-on experience in data modeling, including enterprise-level projects.
• Proven experience with healthcare or HHS data in a public sector or government setting.
• Strong knowledge of relational, hierarchical, and Big Data modeling concepts.
• Proficiency with Erwin or similar data modeling and metadata management tools.
• Familiarity with data integration, interoperability standards, and data quality frameworks.
• Solid understanding of data architecture principles, including storage, security, and governance.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• Certification in Data Architecture or Data Modeling is a plus.
• Experience working in agile environments and contributing to strategic data initiatives.
• The ideal candidate thrives in a distributed Scrum team, managing their own deliverables and staying accountable through clear, consistent communication.