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Data Solution Architect

Spectraforce Technologies
United States, Arizona, Mesa
Jul 15, 2026
Job title: Data Solution Architect

Location: Mesa, AZ (Hybrid - 3 days onsite)

Duration: 12 months

Must have skills:


  • Agile
  • Data Analytics
  • Data Engineer
  • Model - Based Systems Engineering (MBSE)



Description:

  • Client's global Engineering and Technology Innovation team creates and implements innovative technologies that make the impossible possible in enabling the future of aerospace. We are engineers and technicians, and bold innovators; we deploy and maintain the Engineering and Operations Product Standards developed and utilized to design and build all products across the enterprise.
  • Partner with our tools and Materials Process & Physics resources to refine and improve a baseline ontology and data model for Process Specifications (from PDF/XML) including:
  • Taxonomy Development
  • Survey a wide range of Process Specifications and evaluate and assess the optimal way to standardize content. Relaxing and tightening refactoring requirements where appropriate. Initial use cases:
  • Expansion of Process Specifications Ontology to identify process parameters
  • Expansion of Process Specifications Ontology to capture requirements in flag notes, tables, and all document sections
  • Partner with our tools and IT teams to develop a data model for Process Specifications
  • Partner with our tools and IT teams to provide requirements to develop/enhance our tools for authoring and content management of the refactored data



Required Skills:

  • Preferred familiarity with Engineering data, basic understanding of engineering lifecycle, specifically process specifications
  • Proficiency in understanding structured representations of knowledge, including conceptual object models and physical data models
  • Proficiency in Extensible Markup Language (XML), Resource Description Framework (RDF) and graph databases
  • Comfortable operating in an agile cadence with evolving requirements and demonstrate flexibility
  • Ability to devise innovative solutions when faced with unique situations that deviate from past experiences
  • A solid understanding of Model-Based Systems Engineering (MBSE) techniques is essential for transitioning from document-based to model-based requirements.


Education/experience

  • Tpically acquired through advanced technical education (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience, 13 years' related work experience, etc.).

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