Apply on Employer Site

CGI · 17 hours ago

Database Modeler, Senior

Arlington, VA

Full-time

Hybrid

Mid, Senior Level

$126K/yr - $247K/yr

5+ years exp

CGI Federal is advancing the national security mission through cutting-edge technology, and they are seeking a Senior Database Modeler. The role involves designing, creating, and maintaining data models to ensure data is accurately represented and accessed for analytics and decision-making purposes.

AnalyticsApplication Performance ManagementBusiness IntelligenceConsultingCyber SecurityFinanceInformation TechnologyTechnical Support

No H1B

Security Clearance Required

U.S. Citizen Only

Hiring Manager

Matthew G. Baughman, MAEL

Responsibilities

Create conceptual, logical, and physical data models, defining how data is structured, stored, and accessed within databases and data warehouses

Work closely with business analysts, data architects, database administrators, and other stakeholders to understand data requirements and translate them into technical specifications

Ensure data accuracy and consistency by implementing data validation rules and maintaining data quality standards

Optimize data models for performance, ensuring efficient data retrieval and processing

Document data models, metadata, and data flows, providing a clear understanding of the data landscape

Implement and maintain data models, ensuring they align with evolving business needs and technical requirements

Qualification

SQLData modeling toolsData modeling techniquesData validationData quality standardsTroubleshooting skillsCommunication skills

Required

Bachelor's degree and/or 5 to 8 years of experience

Active TS/SCI and the ability to obtain and maintain a TS/SCI with CI Poly

Strong understanding of database concepts, SQL, data modeling tools, and various data modeling techniques (e.g., dimensional modeling, entity-relationship modeling)

Ability to analyze complex data requirements, identify patterns, and design effective data models

Ability to communicate technical information clearly to both technical and non-technical audiences

Ability to troubleshoot data-related issues and optimize data models for performance