Systems Engineer Sr Principal - Military veterans preferred

2018-11-13
SAIC (www.saic.com)
Other

/yr

  full-time   employee


Columbia
Maryland
21046
United States

Description

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.

 

Specific duties include:

  • Performing logical data modeling. Skills needed include UML and relational theory.
  • Develop and maintain artifacts, such as: Logical Data Models (LDM), Data Element Dictionaries (DED), model release documentation, data mappings.
  • Ensure that smaller mission models, which typically are bounded by 1 or 2 “domains” align with the entire collection of models.
  • Coordinate, meet, and hold Technical Peer Reviews with Subject Matter Experts and Stakeholder communities to discuss requirements and models developed. 
  • Define and analyze data requirements, map legacy data stores and formats to logical data model concepts.

 

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

 

#MNS

Qualifications

Twenty (20) years’ experience in data or systems engineering in programs and contracts of similar scope, type, and complexity is required. Bachelor’s degree in technical field or related discipline from an accredited college or university is required. A Master’s degree may be substituted for two (2) years of experience, thereby reducing the total years of experience to 18 years. Five (5) years of experience supporting the NSA Enterprise. Five (5) years of experience developing CASE tools for model development to include either proprietary ones (ERWin, ERStudio, PowerDesigner) or FOSS ones (ArgoUML, DBDesigner, Umbrello).

Individual Capabilities Desired:  Excellent interpersonal and communications skills and the ability to work with a wide variety of customers.  Must be willing to learn new technologies and maintain and develop technical currency.