We are looking for a highly skilled Senior Data Modeler to design and evolve enterprise data models supporting complex mortgage and financial-services data environments.

You will work across business and technology teams to translate complex data requirements into scalable, well-structured models across relational, document-based, and semi-structured data. This is a hands-on data modeling role for someone whose core expertise is enterprise data modeling, rather than data engineering with occasional modeling responsibilities.

About You:

You are an experienced Data Modeler with deep hands-on expertise designing conceptual, logical, and physical data models within complex enterprise environments.

You understand how data moves across systems and can make thoughtful modeling decisions across relational, document-based, and semi-structured architectures. You bring strong mortgage domain knowledge, communicate effectively with technical and business stakeholders, and are comfortable challenging assumptions and proposing better solutions.

As a Strategio Senior Data Modeler you will:

• Design and maintain conceptual, logical, and physical data models aligned with enterprise business and technology requirements.
• Develop data models across relational, MongoDB/document-based, and semi-structured data environments.
• Model complex JSON structures and translate business requirements into scalable data structures.
• Partner with business, architecture, engineering, and data teams to define entities, relationships, standards, and data requirements.
• Support enterprise data integration and ETL/data transformation initiatives by ensuring consistency across source and target models.
• Work with Snowflake and SQL to validate data structures, relationships, mappings, and implementation requirements.
• Apply mortgage domain knowledge to accurately model complex business concepts, processes, and data relationships.
• Identify modeling, data quality, and integration issues proactively and recommend practical solutions.
• Contribute to enterprise data architecture, modeling standards, documentation, and design reviews.

Core Skills

• Strong hands-on enterprise data modeling experience, with data modeling as a primary professional responsibility.
• Expertise designing conceptual, logical, and physical data models for complex enterprise systems.
• Recent hands-on MongoDB experience, including document-based data modeling.
• Strong, recent mortgage domain experience across mortgage-related systems, processes, or data.
• Strong proficiency in SQL and hands-on experience with Snowflake.
• Experience modeling JSON and other semi-structured data.
• Strong understanding of data integration, ETL, data mapping, and enterprise data architecture.
• Ability to translate complex business requirements into clear, scalable data models.
• Strong communication and stakeholder management skills across technical and business teams.
• Independent problem-solving and leadership mindset, with the ability to proactively identify issues and contribute solutions.

Nice-to-Haves:

• Experience supporting Freddie Mac or Fannie Mae environments.
• Experience with multi-family mortgage or housing finance data.
• Knowledge of data governance and data quality frameworks.
• Exposure to cloud-based data platforms beyond Snowflake.
• Experience working in consulting or client-facing environments.