Cloud Data Architect, Data Modeler

Job not on LinkedIn

🕒 August 7

🇺🇸 United States – Remote

💵 $169.6k - $229.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Design and implement a scalable, secure, cloud-based data platform supporting operational data, reporting, and analytics • Develop and document data flows, structures, standards, architecture diagrams, data models, performance metrics, and governance alignment • Architect multi-tenant cloud environments supporting hybrid/on-premises systems, SQL, NoSQL, IaaS, PaaS, distributed SQL, multimodal, and event-driven/streaming databases • Ensure logical and physical data isolation, tenant-level security, resource allocation controls, federal security, privacy, governance, and classification compliance • Maintain monthly platform uptime of 99.9% or higher • Partner with Data Governance, Security, Application Development, BI architecture, data engineering, and business analysis teams • Support the Data and Technology Enabler Roadmap for data engineering, reporting/analytics, and AI/ML use cases • Evaluate data architecture, platform, and data product tooling and document recommendations for Government stakeholders • Implement operational databases, document storage, indexing services, schemas, and secure data APIs using infrastructure as code • 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 training • Configure metadata structures, workflows, automation, security settings, ingestion processes, and catalog attribute definitions • Create training, job aids, and communications to support user adoption • Define and optimize dimensional, relational, and analytical schemas for reporting and analytics • Translate requirements and STTMs into data structures and partner with data engineers on model-driven ETL/ELT • Implement naming conventions, modeling standards, version control, metadata, lineage, and catalog documentation • Support data quality, testing, validation, reconciliation, architecture reviews, scalability, performance, and cost efficiency • Produce audit-ready documentation for data models and design decisions • Develop data migration and archival strategies, including profiling, mapping, testing, anomaly handling, rollback, retention, and access controls • Implement batch and real-time data exchange with Judiciary systems • Design, test, and implement disaster recovery and high-availability strategies • Deliver migration documentation for scripts, transformations, and validation results • Serve as the lead cloud data architect, engineer, and modeler for CMM program data infrastructure

🎯 Requirements

• 10+ years of specialized related experience • MA/MS degree with 12+ years of general information-systems experience and 10+ years of specialized experience, or equivalent experience alternative • Experience alternative: high school with 18+ years, AA/AS with 16+ years, BA/BS with 14+ years, or doctorate/Ph.D. with 11+ years • No current clearance required and no clearance obtainable requirement • No certification required • No U.S. citizenship required • Deep experience designing data architecture using AWS data services and modern application patterns • Experience defining scalable, secure operational data models and service-integration patterns • Experience establishing operational data governance guardrails, integrity controls, cost efficiency, and resilience • Experience with ETL/ELT pipelines, APIs, BI, data products, and AI/ML solutions • Expertise in relational, NoSQL, and GraphDB data modeling for transaction-heavy, high-availability systems • Extensive experience architecting enterprise data platforms for analytics, reporting, and AI/ML 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 • Experience with Snowflake, Databricks, or Redshift and analytics/BI platforms such as Tableau, PowerBI, or QuickSight • Familiarity with data governance, metadata management, and lineage tools • Experience working in regulated or compliance-driven environments • Hands-on experience with Snowflake, Databricks, or AWS Redshift data modeling and tools • Experience working with cloud-based data platforms and core data services, with AWS preferred • Experience mentoring junior data modelers or engineers • Excellent oral and written presentation and communication skills • Ability to work with high-level customer stakeholders and build customer relationships • Experience applying industry tools, solutions, methods, best practices, and emerging technologies • Strong analytical and problem-solving skills, including formulating and communicating recommendations • Ability to work effectively independently and as part of a team

🏖️ Benefits

• Medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan options • 401(k) plan with pre-tax and post-tax contributions and company match • Full flex work weeks where possible • Vacation, sick, and personal time off • Paid holidays • Paid parental leave • Paid military leave • Paid bereavement leave • Paid jury duty leave • 15 days of paid leave per calendar year for new employees, prorated based on hire date • 10 additional paid holidays per year, prorated based on hire date • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance