Data Solution Architect 4 | Mesa, Arizona, United States
I ndotronix is seeking an : Data Solution Architect 4
Location :Mesa, AZ
Hybrid 3 days onsite per week
Duration: 12 months, possible extension
No Security Clearance Required
Shift:First
Start Time:7:30 AM
End Time: 4:00 PM
Position Summary
Partner with Tools, Materials Process & Physics, and IT teams to refine and enhance a baseline ontology and data model for Process Specifications (PDF/XML). Support the standardization, structuring, and management of engineering process specification content by developing taxonomies, data models, and requirements for content authoring and management tools. Drive the transition from document-based specifications to model-based representations that improve data accessibility, consistency, and reuse across engineering programs.
Responsibilities
- Refine and improve a baseline ontology and data model for Process Specifications from PDF/XML sources.
- Develop and enhance taxonomies to standardize engineering process specification content.
- Survey and evaluate a wide range of Process Specifications to determine optimal content standardization approaches.
- Assess and apply appropriate refactoring strategies, including relaxing or tightening standardization requirements where needed.
- Expand Process Specifications Ontology to identify and capture process parameters.
- Expand ontology models to capture requirements contained in flag notes, tables, and all specification document sections.
- Partner with Tools and IT teams to develop and maintain data models for Process Specifications.
- Define and communicate requirements for developing and enhancing authoring and content management tools.
- Support the transition from document-based requirements to model-based engineering approaches.
- Collaborate in an Agile environment with evolving requirements and priorities.
Required Skills
- Familiarity with engineering data and a basic understanding of the engineering lifecycle, particularly process specifications.
- Proficiency in structured knowledge representations, including conceptual object models and physical data models.
- Experience with Extensible Markup Language (XML), Resource Description Framework (RDF), and graph databases.
- Understanding of ontology development, taxonomy management, and data modeling concepts.
- Knowledge of Model-Based Systems Engineering (MBSE) methodologies.
- Ability to operate effectively in Agile development environments.
- Strong analytical, problem-solving, and innovation skills.
- Ability to adapt to evolving requirements and develop solutions for complex technical challenges.
Preferred Skills
- Experience working with engineering specifications, requirements management, or technical data standards.
- Knowledge of content authoring and content management systems.
- Experience supporting digital engineering or model-based transformation initiatives.
- Familiarity with semantic technologies and knowledge graph implementations.
Education / Experience
- Education/experience typically acquired through advanced technical education (e.g., Bachelor's degree) and typically 9 or more years of related work experience , or an equivalent combination of technical education and experience (e.g., PhD with 4+ years of related experience, Master's degree with 7+ years of related experience, or 13+ years of related experience).