Data Modeler
vor 1 Woche
Job Summary:
M.C. Dean is seeking a highly skilled Data Modeler to join our team in developing and maintaining the AFRICOM Federated Data Model using Cameo. The ideal candidate will have experience working with complex systems, data architecture, and software development.
Key Responsibilities:
- Develop and maintain the AFRICOM Federated Data Model using Cameo.
- Collaborate with software developers, engineers, and product owners to create comprehensive models of CDIT data products.
- Work on various modeling levels, including data architecture, software architecture, business processes, higher-level data flow diagrams, and system-of-system diagrams.
- Handle data products focused on the Strategy-Plans-Operations-Assessment feedback loop, operating on SIPR.
- Develop and maintain a NIPR shell version for external outreach to organizations such as the Joint Staff, Components, or other CCMDs.
Requirements:
- Active TS/SCI clearance is required.
- Education: Computer Science, Electrical Engineering, or a related engineering discipline.
- Bachelor's degree and 5+ years of progressive experience.
- Three years of experience with Cameo Systems modeler/Cameo Enterprise Architect.
- Experience developing behavioral and structural models in the Systems Modeling Language (SysML) for complex systems and software.
Desired Qualifications:
- Experience developing and maintaining architecture for complex systems such as Federated Data Models.
- Experience importing and exporting XMI and other file formats to Cameo.
- Experience importing and exporting database schemas from Cameo.
- Two years of systems engineering or configuration management experience.
Working Conditions:
- Exposure to computer screens for an extended period of time.
- Sitting for extended periods of time.
- Reach by extending hands or arms in any direction.
- Finger dexterity to manipulate objects with fingers rather than whole hands or arms.
Equal Employment Opportunity:
M.C. Dean is an equal opportunity employer and welcomes applications from diverse candidates.
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