Data Solution Architect 4

Chipton-Ross is seeking a Data Solution Architect 4 for a hybrid (onsite/remote) opportunity in Mesa, AZ., 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 Client 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 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.

Regular and predictable attendance is 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 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.).