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Senior Data Modeler

TechClub Inc.McLean, VA🇺🇸United StatesPosted Sep 24, 2026

Why This Role Stands Out

This hybrid Senior Data Modeler role at TechClub Inc. offers a fantastic opportunity to shape critical financial systems and drive data-driven decisions within a reputable company. You'll thrive here if you possess strong SQL, Snowflake, and financial services expertise, with the chance to develop your skills in modern data architectures. Don't miss out on this exciting career advancement!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
McLean, VA, United States
Posted
2 days ago
MongoDBSQLETLSnowflake

Job Description

Position: Senior Data Modeler

Location: McLean, VA

Duration: 12+ Months

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
  • Recent, hands-on MongoDB experience.
  • 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

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