Senior Data Modeler

Skills Needed:
MongoDB, SQL, Snowflake, Data Modeling, JSON, and experience in Financial Services. Data modeling must be the candidate's core area of expertise. Candidates whose primary background is Data Engineering with only brief or limited exposure to data modeling will not be a fit.
The Role
We are seeking a Senior Data Modeler to design, develop, and optimize data models that support complex financial systems. You will work closely with cross-functional teams to translate business requirements into robust data structures, enabling high-quality analytics and data-driven decision-making. This role requires strong expertise in SQL, Snowflake, and modern data modeling techniques, alongside domain knowledge in financial services.
What You'll Do
Design and maintain conceptual, logical, and physical data models for enterprise-scale platforms
Collaborate with stakeholders to translate business needs into scalable data solutions
Develop and optimize SQL queries to support analytics and reporting requirements
Implement and manage data structures within Snowflake environments
Apply JSON-based data modeling techniques for flexible and modern data architectures
What We're Looking For
Proven experience in data modeling within financial services environments
Strong proficiency in SQL and hands-on experience with Snowflake
Experience with JSON data modeling and semi-structured data formats
Understanding of data integration and ETL processes
Ability to communicate clearly with technical and non-technical stakeholders
Bonus Points For
Experience with multi-family mortgage or housing finance data
Familiarity with data governance and data quality frameworks
Exposure to cloud-based data platforms beyond Snowflake
Experience working in consulting or client-facing environments