Data Solution Architect 4

Mesa, AZ, US • Posted 12 days ago • Updated 2 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Leadership
  • Innovation
  • Aerospace
  • Physics
  • PDF
  • Taxonomy
  • Code Refactoring
  • Use Cases
  • Ontologies
  • Data Modeling
  • Content Management
  • XML
  • Resource Description Framework
  • Graph Databases
  • Agile
  • Cadence
  • Systems Engineering

Summary

This posting is for a contract assignment and is not a full-time employment offer with Boeing. Candidates selected for roles will be employed as contract workers through a Boeing approved 3rd party for the duration of the specified project.

Regular and predictable attendance is required
Work statement is a non-managerial role, non-leadership role.
Boeing'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 Boeing 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 Boeing Process Specifications Ontology to identify process parameters
Expansion of Boeing 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 Boeing 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: boebot
  • Position Id: 12a57ac42b0faab8223a2ddc696bfd89
  • Posted 12 days ago
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