Highlights
Job Description: 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. " Partner with our tools and IT teams to provide requirements to develop/enhance our tools for authoring and content management of the refactored data.
Numbers & Facts
| Location | Mesa, AZ |
| Industry | Other/Not Classified |
| Salary | $82.14–$99.51 Per Hour |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | www.eteaminc.com |
Description
Job Title: Data Solution Architect 4
Job location: Mesa, AZ 85215 Hybrid 3 days onsite per week
Duration: 12 Months possible extension
Shift: 1st shift 7:30 am to 4:00 pm
Job Description: 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 Client Process Specifications Ontology to identify process parameters
" Expansion of Client 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 Client 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
Skills Required:
" 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:
Education/experience typically 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.).
Job location: Mesa, AZ 85215 Hybrid 3 days onsite per week
Duration: 12 Months possible extension
Shift: 1st shift 7:30 am to 4:00 pm
Job Description: 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 Client Process Specifications Ontology to identify process parameters
" Expansion of Client 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 Client 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
Skills Required:
" 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:
Education/experience typically 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.).
About Company
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