Home Office, Home Office, United States of America
7 hours ago
Data Architect/ Data Modeler
REQ#: RQ212560Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to manage the network that makes mission success possible. Make an impact by using your skills to deliver “One GDIT Network” for our clients.

Job Description

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program.  The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

The Data Architect/ Data Modeler will work as part of the CMM Enterprise Data Warehouse (EDW) team to deploy a secured cloud-native EDW platform and support the statutory and operational reporting, data cataloging, and other analytical objectives. The Data Architect/ Data Modeler is responsible for defining, implementing, and governing the logical and physical data models that underpin the EDW. This role ensures data structures support secure ingestion, high-quality analytics, performance at scale, and alignment with federal data governance, classification, and compliance requirements defined in the SOW.

RESPONSIBILITIES:

Develop CMM Data Classification Standards for sensitive and high-value data

Facilitate workshops to define security controls and data handling requirements for sensitive data

Incorporate classification requirements into case management system design, procurement specifications, and training content

Develop compliance monitoring methods and resolve operational classification issues

Align classification outputs with judiciary risk tolerance and operational needs

Configure metadata structures, workflows, automation, and security settings in the new platform (Qlik/Talend) to support case management metadata requirements

Integrate classification metadata and labels into catalog structures in line with CMM standards

Develop ingestion processes for case management metadata, including defining attribute descriptions for catalog entries

Create and deliver training, job aids, and communications to drive user adoption

Incorporate classification metadata for case management into the enterprise catalog, monitor system performance and implement optimization updates post-migration

Design and maintain enterprise logical and physical data models for the EDW and downstream data marts

Define dimensional, relational, and analytical schemas optimized for reporting and analytics workloads

Collaborate with business analysts to translate requirements and STTMs into accurate data structures

Partner with data engineers to ensure model-driven ETL/ELT implementations

Ensure data models align with data governance standards, classification policies, and security controls

Implement naming conventions, modeling standards, and version control for all data models

Support data quality, integrity, and consistency across integrated source systems

Optimize models for query performance, scalability, and cost efficiency

Maintain metadata, lineage, and model documentation for inclusion in the metadata catalog

Participate in architecture and design reviews, providing modeling expertise and recommendations

Support testing, validation, and reconciliation of data structures and transformations

Produce and maintain audit-ready documentation for data models and design decisions

Operates within an Agile federal delivery environment

Collaborates closely with BI architects, data engineers, and business analysts

Accountable for data model quality, consistency, and performance

Expected to maintain continuous audit readiness and documentation accuracy


REQUIRED EXPERIENCE & QUALIFICATIONS:

BA/BS, or equivalent years of experience

8+ years of experience information systems

Must have solid experience supporting enterprise Snowflake EDW and analytics platforms

Experience in data architecture and data modeling roles

Proven expertise in logical, physical, and dimensional data modeling

Strong SQL skills and deep understanding of relational and analytical databases

Experience working in regulated or compliance-driven environments

Ability to produce clear, structured, and audit-ready data documentation

Experience supporting federal EDW or judiciary data programs

Hands-on experience with Snowflake data modeling

Familiarity with data governance, metadata management, and lineage tools

Experience working with cloud-based data platforms (AWS preferred)

Experience mentoring junior data modelers or engineers

PREFERRED EXPERIENCE:

MA/MS degree with 10+ years of general experience in information systems and 8+ years of specialized experience

CERTIFICATIONS (Preferred):

Certified Data Management Professional (CDMP)

Snowflake SnowPro Advanced

AWS Certified Data Analytics – Specialty


COMMUNICATION & ORGANIZATIONAL:

Excellent presentation and communication (oral and written) skills

Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationship

Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies

Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement

Demonstrated ability to work effectively, independently, and as part of a team

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities

Support: An internal mobility team focused on helping you achieve your career goals

Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

Community: Award-winning culture of innovation and a military-friendly workplace


OWN YOUR OPPORTUNITY:
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

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