Overview-sub-background | JANUS Research Group

Data Steward

Full Time

Location

Fort Eustis, VA

Position Overview

JANUS is currently seeking a motivated, career and customer oriented Army Architecture Data Steward to support the Architecture Integration and Management Division (AIMD), an element of the Futures Integration Directorate (FID) reporting to the Army Futures Command’s (AFC) Futures and Concepts Center

MANDATORY REQUIREMENT: Candidate must be a US Citizen in order to obtain and maintain an interim and final security clearance

Special Requirements:

  • Possess and maintain a Department of Defense Secret Security Clearance at contract start and maintain that level of security for the life of the contact
  • Security+ Certified

Experience and Education:

  • 3-5 years in Department of Defense architecture framework (DODAF) specifically in DODAF v2
  • 5-8 years in leading and organizing large team efforts in designing / developing / implementing standards
  • 4-5 years working within the DoD, understands protocol afforded to GS and uniformed customers – preferably Army 
  • 3-5 years modeling enterprise architecture artifacts using industry standard tools like System Architect, MagicDraw, Sparx EA, ARIS
  • 3-5 years practical application of building EA artifacts focused on operational architecture
  • 1-2 years of Data modeling at the contextual level of abstraction
  • 2-3 Microsoft Excel features and functions
  • 2-3 years knowledge of modeling notations specifically UPDM, SYSML, BPMN, IDEF or 42
  • 1-2 years knowledge of object-oriented language (UML) or structured languages (SADT, SA, 42) and their practical application in EA
  • Detailed understanding (metamodel, data structure, scripting) of one or many tools used in EA modeling: System Architect, MagicDraw, Sparx EA, ARIS
  • Data modeling at the logical and physical levels of abstraction
  • Understanding of SQLServer or similar relational database platforms
  • Experience with designing end-to-end data solutions (storage, integration, processing, access) in Microsoft Azure.
  • Knowledge of Azure storage and analytics platforms, including Synapse Analytics, Azure Data Lake, Azure Data Lake Next Gen2, Azure Data Factory, Azure Synapse Analytics Pipeline, Azure SQLServer Managed Instances, Azure Data SQLServerless, and Azure Blob Storage.
  • Data model optimization leveraging tools such as Erwin
  • ETL, data integration and data migration design
  • Design and implement distributed analytics platforms for analyst teams
  • Working within a project management/agile delivery methodology in a leading role a spart of a wider team
  • Documenting and presenting solutions internally and to the customer
  • Possess a Bachelor's Degree or higher from an accredited college or university in Engineering, Science, or Information Technology.

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