
Data Architect with Active Secret Security Clearance - Onsite in Portsmouth, VA
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Booker DiMaio, LLC is hiring a Data Architect with Active Secret Security Clearance - Onsite in Portsmouth, VA. Booker DiMaio, LLC is seeking a skilled and detail-oriented Data Architect to support a large-scale shipyard-focused program. This role centers on designing and managing enterprise-level data environments that support maintenance operations, reporting, and leadership decision-making. The ideal candidate will bring strong experience in data architecture, database design, and systems integration, along with the ability to support analytics platforms and data-driven insights across complex IT ecosystems.
Key focus areas include Architect, develop, and maintain scalable databases for both storage and processing needs, Define and implement strategies for data warehousing, ingestion, accessibility, and long-term retention, and Create and manage data models, including defining structures, relationships, and naming standards.
Successful candidates bring Bachelor's Degree in Computer Science/Information Systems/Data Science, 4-7 Years Data Architecture Experience, and U.S. Citizenship. Important skills include Data Architecture, Database Design, Systems Integration, Analytics Platforms, Data-Driven Insights, and Scalable Databases. Preferred (not required): Visualization Tools, Data Integration, Business Intelligence Platforms, and Maintenance Or Operations-Focused Data Environments.
Skills & qualifications
Skills
Qualifications
Full job description
U.S. Citizenship and an Active Secret Security Clearance is required.
This job is onsite in Portsmouth, VA.
Position Overview
We are seeking a skilled and detail-oriented Data Architect to support a large-scale shipyard-focused program. This role centers on designing and managing enterprise-level data environments that support maintenance operations, reporting, and leadership decision-making.
The ideal candidate will bring strong experience in data architecture, database design, and systems integration, along with the ability to support analytics platforms and data-driven insights across complex IT ecosystems.
Key Responsibilities
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Architect, develop, and maintain scalable databases for both storage and processing needs
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Define and implement strategies for data warehousing, ingestion, accessibility, and long-term retention
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Create and manage data models, including defining structures, relationships, and naming standards
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Assess new data sources for quality, usability, and integration compatibility
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Design enterprise data frameworks supporting maintenance metrics and operational analytics
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Integrate and normalize data across multiple systems to enable unified reporting and analysis
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Ensure accuracy, consistency, and security of data across platforms
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Contribute to the development and upkeep of dashboards and visualization tools for operational metrics
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Perform data analysis, lifecycle planning, and evaluation of alternative technical solutions
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Develop predictive models and decision-support tools aligned with program metrics
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Partner with business analysts and engineering teams to implement data-centric solutions
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Create and maintain system interface diagrams across IT environments
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Support broader data architecture needs tied to application and portfolio management
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Participate in working groups and stakeholder forums focused on metrics and system improvements
Basic Qualifications
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Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related discipline
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4–7 years of experience in data architecture, data engineering, or enterprise data management
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Hands-on experience with relational databases, SQL, and data modeling techniques
Preferred Qualifications
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Graduate degree in a related technical field
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Extensive experience (8–10+ years) in enterprise data architecture
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Strong background in data integration and warehousing solutions
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Prior experience supporting large-scale, complex programs
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Experience with business intelligence platforms and data visualization tools
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Familiarity with maintenance or operations-focused data environments
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