Cloud Data Architect - Data Modeler

About this role

Type of Requisition: Pipeline

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: Data Analytics, Data Warehousing (DW), Enterprise Data, Relational Data Modeling Certifications: None Experience: 10 + 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 Cloud Data Architect - Data Modeler will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program.

The successful candidate will serve as the lead cloud data architect, engineer, and modeler for all CMM program data infrastructure. This role designs, implements, governs, and improves cloud-based data models, platforms, and pipelines across the full data lifecycle, including ingestion, storage, transformation, integration, migration, archival, and operations. The Cloud Data Architect - Data Modeler ensures all solutions align with government CI/CD processes, meet federal security and privacy requirements, and provide secure ingestion, high‑quality analytics, scalable performance, and compliance with federal data governance and classification requirements outlined in the SOW.

The Cloud Data Architect - Data Modeler will execute the following responsibilities:

Data Platform & Architecture • Design and implement a scalable, secure, cloud-based data platform supporting operational data, reporting, and analytics delivering a cloud-based architecture (data lake, lakehouse, or data warehouse).

• Develop and document data flows, structures, standards, and governance alignment.

• Ensure alignment with federal security requirements, judiciary architecture standards, data governance policies, and application modernization initiatives.

• Architect multi-tenant, cloud-based environments supporting hybrid/on‑premises systems, enabling SQL, NoSQL, IaaS, PaaS, distributed SQL, multi-modal, and event-driven/streaming databases.

• Ensure logical/physical data isolation, tenant-level security, and resource allocation controls.

• Maintain monthly platform uptime of 99.9%+.

• Maintain version-controlled architecture diagrams, data models, performance metrics.

• Partner with Data Governance, Security, and Application Development teams to ensure data architecture decisions align with Judiciary policies, data governance standards, and security requirements.

• Support development of the Data and Technology Enabler Roadmap across data engineering, reporting/analytics, and AI/ML use cases.

• Recommend and evaluate tooling and software for the data architecture, platform, and data products, and document findings and rationale for Government stakeholders.

Data Engineering & Integration • Implement operational databases, document storage, indexing services, schemas, and secure data APIs using IaC for provisioning and configuration.

• Monitor and optimize database and query performance through automated tuning and indexing.

• Develop and operationalize CMM Data Classification Standards, including workshops, security controls, metadata requirements, and integration into system design, procurement, and training.

• Configure metadata structures, workflows, automation, and security settings; develop ingestion processes and attribute definitions for catalog entries.

• Create training, job aids, and communications to support user adoption.

• Define and optimize dimensional, relational, and analytical schemas for reporting and analytics; ensure alignment with governance, classification, and security policies.

• Translate requirements and STTMs into accurate data structures; partner with data engineers for model‑driven ETL/ELT.

• Implement naming conventions, modeling standards, and version control; maintain metadata, lineage, and documentation for catalog inclusion.

• Support data quality, testing, validation, reconciliation, and architecture/design reviews; ensure scalability, performance, and cost efficiency.

• Produce audit‑ready documentation for data models and design decisions.

• Operate within an Agile federal environment, collaborating closely with BI architects, data engineers, and business analysts; accountable for data model quality, consistency, and performance.

Data Migration & Archiving • Develop a Data Migration Strategy including profiling, mapping, testing, anomaly handling, and rollback procedures.

• Develop a Data Archival Strategy covering archive creation, migration, storage tiers, retention schedules, and access controls.

• Implement batch and real-time data exchange with Judiciary systems

• Design, test, and implement DR and high availability strategies

• Deliver migration documentation for scripts, transformations, and validation results.

QUALIFICATIONS: • MA/MS degree with 12+ years of general experience in information systems and 10+ years of specialized experience.

• Experience may be considered in lieu of degree as follows: HS (18+ years), AA/AS (16+ years), BA/BS (14+ years), Doctorate Degree/Ph.D. (11+ years).

• Deep experience designing data architecture using AWS data services and modern application patterns.

• Define scalable, secure operational data models and patterns that enable application features and service integrations.

• Establish

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