
10,000+ employees
Founded 1954
đź Consulting
đĽ Healthcare
đŚ 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.
đĽ 0 minutes ago
đşđ¸ United States â Remote
đľ $169.6k - $229.5k / year
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
đŚ H1B Visa Sponsor
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10,000+ employees
Founded 1954
đź Consulting
đĽ Healthcare
đŚ 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.
⢠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
⢠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
⢠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
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