About The Position

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.

Requirements

  • U.S. Citizenship
  • Active Secret Security Clearance
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related discipline
  • 4–7 years of experience in data architecture, data engineering, or enterprise data management
  • Hands-on experience with relational databases, SQL, and data modeling techniques

Nice To Haves

  • Graduate degree in a related technical field
  • Extensive experience (8–10+ years) in enterprise data architecture
  • Strong background in data integration and warehousing solutions
  • Prior experience supporting large-scale, complex programs
  • Experience with business intelligence platforms and data visualization tools
  • Familiarity with maintenance or operations-focused data environments

Responsibilities

  • 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
  • Create and manage data models, including defining structures, relationships, and naming standards
  • Assess new data sources for quality, usability, and integration compatibility
  • Design enterprise data frameworks supporting maintenance metrics and operational analytics
  • Integrate and normalize data across multiple systems to enable unified reporting and analysis
  • Ensure accuracy, consistency, and security of data across platforms
  • Contribute to the development and upkeep of dashboards and visualization tools for operational metrics
  • Perform data analysis, lifecycle planning, and evaluation of alternative technical solutions
  • Develop predictive models and decision-support tools aligned with program metrics
  • Partner with business analysts and engineering teams to implement data-centric solutions
  • Create and maintain system interface diagrams across IT environments
  • Support broader data architecture needs tied to application and portfolio management
  • Participate in working groups and stakeholder forums focused on metrics and system improvements
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