Data Modeler

Executive InQuest

Data Modeler

Remote,
Full Time
Paid
  • Responsibilities

    Data Modeler

    The Data Modeler is responsible for designing and implementing data modeling solutions across relational, dimensional, and NoSQL databases , ensuring optimal data organization, interoperability, and performance. Working closely with data architects and technical teams , this role supports the development of efficient and scalable data structures that enhance query performance and system integration.

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    Must Be U.S. Citizen

    Key Responsibilities:

    Data Modeling & Design

    • Develop conceptual, logical, and physical data models tailored to business and technical requirements.
    • Design and optimize databases and data warehouses for improved interoperability and query performance.
    • Lead stakeholder meetings and working groups to define data specifications and ensure models align with business needs.
    • Evaluate and refine existing data structures to identify inefficiencies, reduce duplication, and enhance validation.

    Data System Evaluation & Optimization

    • Construct as-is data models where documentation is lacking and assess foundational data model issues.
    • Conduct query performance analysis and implement optimizations to enhance efficiency.
    • Collaborate with project teams to define risks, trade-offs, and implementation strategies for new or rebuilt systems.

    Governance & Best Practices

    • Define and establish data modeling standards, tools, and best practices to support enterprise-wide consistency.
    • Provide recommendations on data architecture, infrastructure, and integration strategies.
    • Ensure data models align with governance policies and industry best practices.

    Required Qualifications:

    Experience

    • Minimum 3 years of relevant experience in data modeling.

    Education

    • Bachelor's or advanced degree ( Master's or PhD ) in Computer Science, Engineering, Mathematics, or a related field.
    • Additional qualifying experience may be substituted for the required education on a year-for-year basis.

    Technical Skills & Competencies

    • Proficiency in data modeling tools (e.g., Power Designer, DAX Studio, ERWin, ER/Studio ).
    • Strong SQL skills for data structuring, querying, and optimization.
    • Experience working with relational, dimensional, and NoSQL databases.
    • Ability to lead cross-functional discussions and translate business requirements into technical solutions.

    This role is ideal for professionals passionate about data architecture, optimization, and governance , ensuring that data models effectively support business operations and future scalability.