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Data Architect

Job ID: 2017790
Location: ORLANDO, FL, United States
Date Posted: Nov 25, 2020
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: No

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Job Description

Description

SAIC is seeking qualified candidates to support the US Air Force Agency for Modeling and Simulation (AFAMS) program.

AFAMS is the premier agency responsible for implementation, integration, and development of Modeling and Simulation (M&S) and training and analysis standards that support the US Air Force (USAF), Department of Defense (DoD), and mission partners requiring these capabilities to support the Warfighter in full-spectrum operations. As the lead agent for M&S within the USAF, AFAMS gathers requirements, seeks out potential solutions, and integrates legacy and emerging M&S solutions across the USAF and the DoD. The USAF has an M&S initiative that focuses on providing simulation and synthetic training as the critical capability to augment live training, act as an enabler for critical decision-making, and enhance human performance. In the current resource constrained environment, demand for M&S rises with the continuously evolving need for operational readiness and mission preparedness across the USAF, DoD, and with coalition partners. AFAMS focuses on providing innovative M&S services as the key to meeting this demand.

The role of this position is to support the AFAMS in Orlando, FL. The Data Architect will:

  • Support OTTI strategy with data architectures and engineering efforts:
    • Design and build a OTTI Unified Data Library (UDL)
    • Assist in planning efforts to establish OTTI Data Catalog and Data Dictionary to function as a registry or repository for common data and models used in Operational M&S
    • Support migration efforts to transform legacy databases to enterprise data assets
    • Standup enterprise Data Science capability for decision support, correlation/confidence level and predict/prescriptive/descriptive analytics
    • Accomplish analytics at scale, to enable “Big Data as a Service”. Cost efficient, reliable, and scalable Data Lake to store simulation output
    • Design and build business intelligence (BI) to make data driven decisions to include processes that collects, stores, & analyzes metrics produced by simulations.
  • Combining data from different sources into a   single unified view. A “Big Data Integration Platform”; process that includes cleansing, Extract Transform and Load (ETL) mapping, and transformation.
  • Support VAULTIS (Visible, Accessible, Understandable, Linked, Trusted, Interoperable and Secured) to facilitate all data management functionality to maximize data value and fit for use.
  • Design data visualization from authoritative data sources to facilitate a myriad of uses.
  • Create self-service ETL to allow operators and analysts to develop personal versions of data without changing the data or store multiple copies of data.
  • Provide the highest available pragmatic data security to protect from advanced cybersecurity threats and data spillage, while ensuring data access for functional use. Assume all users are a   threat.
  • Support innovation efforts with AFWERX, SOFWERXs, and other opportunities to leverage leading technologyTask 4: Collaboration & engagement to ensure unity of effort:
    • Design and develop the Integrated Data Architecture
    • Assist in testing data management processes & ADS interrelationship diagram
    • Engage Enterprise M&S SMEs to provide “Operational Requirement -  Pain Points” to address potential initiatives that can meet the described probable future - aligned with OTTI Ecosystem
    • Engage Enterprise M&S SMEs to provide “shortfalls/gaps” from joint/inter-agency requirements; provide solution potentials to be considered to meet an end-state for a future joint environment
    • Support AoA efforts
    • Assist AFAMS in standing up an AF Lab and a   National Sim Lab (Team Orlando)

Qualifications

The following skills are required:

  • Demonstrated experience accomplishing complex technical analyses - no non-technical majors
  • Bachelors and fifteen (15) years or more of related experience; Masters and thirteen (13) years or more experience; PhD or JD and four (4) years or more experience. In lieu of a degree an additional 4 years of experience is required.
  • A Secret security clearance is required for this position.


Overview

SAIC is a premier technology integrator solving our nation's modernization and readiness challenges. Our offerings across defense, space, civilian, and intelligence markets include high-end solutions in engineering, IT, and mission outcomes. We integrate the best components from our portfolio with our partner's ecosystem to deliver innovative and effective solutions. We are 25,500 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, VA, SAIC has annual revenues of nearly $7.1 billion. For information, visit saic.com or Working at SAIC for benefits details. SAIC is an Equal Opportunity Employer empowering people no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status. We strive to create a diverse, inclusive and respectful work culture that values all.

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