DSCA Data Architect Senior

Location:

Arlington, VA, Remote, United States

Requisition Number:28235

Required Travel: 0 - 10%

Employment Type:

Full Time/Salaried/Exempt

Anticipated Salary Range:$-$

Security Clearance:

Secret

Level of

Experience:

Mid

This opportunity resides with Warfare Systems (WS), a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5

ISR systems.

Join our expanding team in the Warfare Systems Business Group at HII-Mission Technologies! We are seeking a talented mid-to senior-level Data Architect to play a pivotal role in supporting Executive Order projects. This high-impact position focuses on enhancing a centralized data environment (CDE) that delivers auditable financial transaction data, improves transparency and accountability across the Department of War (DoW), and builds a robust common operating picture for senior leadership decision-making.

The ideal candidate takes an end-to-end solution approach, maintaining a big-picture perspective to develop comprehensive data strategies, architectures, and designs for data collection, storage, and dissemination. You'll connect business processes to data requirements, evaluate and select authoritative sources from disparate systems, formalize information, and establish unified architectures that enable seamless, auditable data flows across enterprise-scale environments.

• Designs, models, documents, and governs the logical and conceptual data architectures, relationships, and schema evolutions for complex, enterprise-scale applications in support of tracking and accountability reforms.
• Analyzes current and emerging system requirements, then develops comprehensive technical, structural, and organizational specifications to enable auditable, transparent data flows.
• Develops and implements end-to-end data architectures, including strategies for data ingestion, integration, storage, processing, quality assurance, and dissemination to support business objectives and mission needs.
• Applies big-picture thinking to map and align business processes with data requirements, ensuring holistic solutions that address collection from multiple sources, authoritative source identification, data formalization, and linkage through common, scalable architectures.
• Establishes data governance frameworks, including policies for standardization, quality, metadata management, and compliance with DoW regulations to promote consistency and reliability across hybrid environments.
• Collaborates with stakeholders to define enterprise data strategies, optimize pipelines (ETL/ELT), and incorporate technologies such as cloud platforms (e.g., AWS Gov Cloud, Azure Government), Big Data tools (e.g., Spark, Hadoop), and relational/No
  
  SQL databases for secure, performant solutions.
• Designs approaches for automated data labeling, lifecycle management, monitoring, real-time ingestion, and integration of disparate data sources to support auditable and transparent operations.
• Evaluates emerging tools and technologies for data management, performs source assessments to determine the "right" authoritative data origins, and resolves integration challenges to maintain data integrity and traceability.
• Performs additional duties as assigned or required to advance mission goals.

• Knowledge of data administration and data standardization policies and standards.
• Knowledge of the capabilities and functionality associated with various technologies for organizing and managing information (e.g., databases, bookmarking engines).
• Knowledge of the characteristics of physical and virtual data storage media.
• Knowledge of data operations (Data Ops) processes and best practices.
• Knowledge of how to collect, store, and monitor data.
• Skill in designing the best approach and architecture for automated data labeling and data lifecycle.
• Proficiency in programming languages such as SQL, Python, or Java for data manipulation, modeling, and analysis.
• Strong understanding of data modeling concepts (conceptual, logical, physical) and tools (e.g., ERwin, Visio).
• Demonstrated ability to think holistically about end-to-end data solutions, connect business…