Senior Data Modeler

TheStaffed

  • McLean, Virginia
  • 8 days ago
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    Skills

    • Best Practicesunmatched
    • Business Intelligenceunmatched
    • Communication Skillsunmatched
    • Data Analysisunmatched
    • Data Formatsunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Structuresunmatched
    • Database Designunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Financial Servicesunmatched
    • JSONunmatched
    • Mentoringunmatched
    • Performance Tuning/Optimizationunmatched
    • Query Analysisunmatched
    • Query Optimizationunmatched
    • Requirements Managementunmatched
    • SQL (Structured Query Language)unmatched
    • Snowflake Schemaunmatched
    • Structured Dataunmatched

    Description

    Our client is seeking a Senior Data Modeler with 8–10 years of experience to design and maintain enterprise-scale data models supporting analytics and reporting initiatives in a financial services environment.

    Responsibilities & Qualifications

    • Design and maintain conceptual, logical, and physical data models for enterprise-scale platforms
    • Collaborate with business stakeholders to translate requirements into scalable, efficient data solutions
    • Develop and optimize SQL queries to support analytics, reporting, and downstream business intelligence
    • Implement and manage data structures and governance within Snowflake environments
    • Apply JSON-based data modeling techniques to design flexible, modern data architectures
    • Mentor junior team members and contribute to data modeling best practices across the organization
    • Participate in architecture reviews and help evaluate new tools and technologies for data infrastructure

    Requirements

    • 8–10 years of professional experience in data modeling and database design
    • Advanced proficiency in SQL and experience optimizing complex queries for performance
    • Hands-on experience designing and implementing solutions in Snowflake
    • Strong expertise in JSON data modeling and handling semi-structured data formats
    • Solid understanding of ETL processes and data pipeline development
    • Financial services domain knowledge or experience working with financial data structures
    • Excellent communication skills and ability to translate technical concepts for non-technical stakeholders

    Numbers & Facts

    LocationMcLean, Virginia

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