Data Modeler

AME IT Solutions
McLean, VA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Architecture Data Governance Data Integration Extract Transform Load (ETL) Data Structures JSON SQL Databases Cloud Platform System Snowflake Semi-structured Data Physical Data Models Data Pipelines

Job description

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

Requirements

  • 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

Experience:

  • data modeling within financial services environments: 10 years (Required)
  • hands-on with Snowflake: 10 years (Required)
  • JSON data modeling and semi-structured data formats: 10 years (Required)

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