Senior Data Modeler

TheStaffed

McLean, Virginia

JOB DETAILS
SKILLS
Cloud Computing, Communication Skills, Consulting, Cross-Functional, Customer Relations, Data Formats, Data Management, Data Modeling, Data Quality, Data Structures, Database Extract Transform and Load (ETL), Finance, Financial Analysis, Financial Services, Financial Systems, JSON, Management Consulting, Mortgage, Query Analysis, Query Optimization, Requirements Management, SQL (Structured Query Language), Snowflake Schema, Structured Data, Systems Analysis
LOCATION
McLean, Virginia
POSTED
30+ days ago

Our client, a top-tier management consulting firm, is seeking a Senior Data Modeler to design and optimize enterprise data models using SQL, Snowflake, and modern data modeling techniques to support financial systems and analytics.

Responsibilities & Qualifications

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

 

About the Company

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TheStaffed