Data Architect/ Data Modeler

GDIT
Falls Church, VA

Responsibilities for this Position

Location: Any Location / Remote
Full Part/Time: Full time
Job Req: RQ212560

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other Required:
None

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:
Database Architecture, Database Modeling, ETL
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
No

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.

The likely salary range for this position is $147,292 - $199,278. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Remote

Work Location:
Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans



PI282091347




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.


The likely salary range for this position is $147,292 - $199,278. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.



Scheduled Weekly Hours:
40



Travel Required:
None



Telecommuting Options:
Remote



Work Location:
Any Location / Remote



Additional Work Locations:



Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.


We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.


Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc.


Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans







PI282091347

Posted 2026-02-05

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