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Data Modeler

Cliff Services IncMcLean, VA🇺🇸United StatesPosted 6 Aug 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape critical financial systems using modern data modeling techniques, perfect for someone with a strong background in SQL, Snowflake, and financial services. You'll collaborate with dynamic teams and contribute to impactful data-driven decisions, making this an exciting next step for your career. Apply today to leverage your expertise and drive innovation at Cliff Services Inc.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
McLean, VA, United States
Posted
3 weeks ago
MongoDBSQLETLSnowflakeStakeholder Management

Job Description

Senior Data Modeler
They should have exposure to mongodb and mortgage experience
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 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.
Key Skills
  • Data Modeling (Conceptual, Logical & Physical)
  • SQL
  • Snowflake
  • JSON Data Modeling
  • Semi-Structured Data
  • ETL
  • Financial Services Domain
  • Data Integration
  • Data Governance
  • Data Quality
  • Cloud Data Platforms
  • Stakeholder Management
  • Mortgage / Housing Finance (Preferred)
Interested candidates can share their resumes to:

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