Data Architect with Active Secret Security...

• 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

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., + 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

Preferred Qualifications

• 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

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