Senior Data Architect

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 Sr. Data Architect will be 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 architect, engineer, and operator for all data infrastructure supporting the CMM program. This role is responsible for designing, implementing, operating, and continuously improving cloud-based data platforms and pipelines spanning the full technical data lifecycle-including ingestion, storage, transformation, integration, migration, archival, and ongoing operations.

The Data Architect ensures all solutions align with government-provided CI/CD processes and comply with federal security, privacy, and data protection requirements.

The Sr. Data Architect 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 Data Engineering & Integration Implement operational databases, document storage, indexing services, schemas, and secure data APIs.

Implement Infrastructure as Code (IaC) for database provisioning and configuration. Continuously monitor and optimize database/query performance via automated tuning and indexing strategies.

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 (16+ years), AA/AS (14+ years), BA/BS (12+ years), Doctorate Degree/Ph.D. (9+ 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 and enforce operational data governance guardrails including integrity controls, cost efficiency, and resilience. Establish platform integration patterns for ETL/ELT pipelines, APIs, and downstream consumption layers supporting BI and data product.

Expertise in relational and NoSQL data modeling for transaction-heavy, high-availability systems. Extensive experience architecting enterprise data platforms supporting analytics and reporting at scale.

Experience modernizing legacy data systems and leading cloud migration strategies. Strong knowledge of MDM, data governance integration, and change data capture methods.

Experience implementing data lakes, data warehouses, and CDC-enabled ingestion patterns. The likely salary range for this position is $195,240 - $264,148.

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.

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.