Senior Data Architect

General Dynamics Information Technology

Australia, Canada, France, Germany, India +2 moreremotePosted 1 month ago

Skill Required

Data-ArchitectureData-EngineeringData-Platform-EngineeringCloud-Data-ArchitectureData-GovernanceSenior-Data-ArchitectData-Architect-Senior-ConsultantLead-Data-ArchitectSenior-Database-ArchitectSenior-BI-Data-ArchitectPrincipal-Data-ArchitectSenior-Data-Science-ArchitectData-Architecture-LeadSenior-BI-ArchitectBackup and RecoveryMachine LearningEngineeringdesigningsecurityQuery OptimizationTestNGdesignCI/CDCloudAPIsETLSQLAWSTerraformCICDAIFulltime

Key highlights

12+ years of general experience in information systems and 10+ years of specialized experience required
MA/MS degree or equivalent experience required
Deep experience with AWS data services and modern application patterns required
Expertise in relational and NoSQL data modeling for high-availability systems required

Role overview

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.

Responsibilities

Serve as the lead architect, engineer, and operator for all data infrastructure supporting the CMM program
Design, implement, operate, and continuously improve cloud-based data platforms and pipelines spanning the full technical data lifecycle—including ingestion, storage, transformation, integration, migration, archival, and ongoing operations
Ensure all solutions align with government-provided CI/CD processes and comply with federal security, privacy, and data protection requirements
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
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
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

Requirements

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