Senior Data Architect

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $107.9k - $195.1k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🔒 Cybersecurity

🔬 Science

Defense • Cybersecurity • Science

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• Lead enterprise data architecture and modernization activities supporting DHP data management and analytics programs • Design data models, integration patterns, metadata structures, lineage approaches, and information flows • Support architecture and integration activities across EDAV, 1CDP, Databricks, Azure, SQL, and related environments • Conduct inventory, dependency analysis, and modernization assessments for legacy analytical assets • Develop technical roadmaps supporting phased migration of SAS-based workflows to CDC-approved platforms • Collaborate with Governance, Quality, Interoperability, and Operations Leads to ensure alignment across modernization activities • Develop architecture standards, technical documentation, and implementation guidance • Participate in technical reviews, modernization planning, and stakeholder working groups

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Health Informatics, Public Health Informatics, or related discipline • 10+ years of experience in data architecture, data engineering, analytics, or modernization initiatives • Experience designing enterprise data models, metadata structures, and integration architectures • Strong SQL and data modeling skills • Experience supporting cloud-based analytics or data management environments • Strong analytical, documentation, and communication skills • Ability to obtain/maintain a Public Trust Security Clearance.

🏖️ Benefits

• Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement