Data Solution Architect
Spectraforce Technologies Inc
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)
- 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
- 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.
- 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.).
Vacancy posted 1 day ago
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