Systems Engineer 5

SW Complete

$100K — $130K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data modeling and architecture
  • Proficiency in UML and data modeling tools
  • Experience with data mapping and legacy systems
  • Strong analytical skills to interpret customer requirements
  • Excellent collaboration and communication abilities
  • TS/SCI security clearance required
  • U.S. Citizenship required

Responsibilities

  • Assist mission organizations in developing logical and conceptual data models
  • Analyze customer requirements to maintain logical data models and documentation
  • Represent business and mission concepts through effective data modeling
  • Collaborate with internal and external data modelers
  • Align domain and mission models with enterprise models
  • Coordinate technical peer reviews with stakeholders
  • Produce models for mapping legacy data to modern formats

Benefits

  • Opportunity to work on impactful mission projects
  • Collaborative work environment with cross-organizational teams
  • Potential for professional growth in data architecture
  • Access to advanced modeling tools and methodologies
  • Engagement with stakeholders from various domains
Full Job Description
Clearance Required: TS/SCI Other Requirements: U.S. Citizenship Assists mission organizations and data architecture teams in developing logical and conceptual data models that are crafted using a local model methodology.This methodology guides the creation of supporting UML class diagrams.These UML based models will be the source for mission physical models and associated exchange formats. • Analyzing customer requirements in order to produce and maintain artifacts such as Logical Data Models (LDM), Data Element Dictionaries (DED), model release documentation, and data mappings. • Representing business and mission concepts, their definitions, properties, and relationships via modeling. • Collaborating with data modelers within the organization and from other organizations to develop data models of common concern. • Aligning domain models and mission models with each other and with enterprise models. • Coordinating, meeting, and holding technical peer reviews with subject matter experts and stakeholders to discuss modeling requirements and perform model validation. • Producing models to support the mapping of data in legacy data formats and data stores to modern formats and enterprise data stores.

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