Overview
On Site
Full Time
Skills
Intelligence Analysis
Training
Visualization
Collections
Unstructured Data
Apache Velocity
Real-time
Development Testing
Analytical Skill
Data Science
Data Visualization
Analytics
Security Clearance
Computer Science
Data Analysis
Software Engineering
Big Data
Apache Hadoop
Content Management
Change Management
Configuration Management
Performance Tuning
Data Processing
Knowledge Management
Cloud Computing
Management
Scripting
Java
Linux
C++
PHP
Ruby
Python
R
Extract
Transform
Load
Informatica
Talend
Pentaho
Data Warehouse
Research and Development
Natural Language Processing
Machine Learning (ML)
Modeling
Statistics
Predictive Modelling
Testing
SAP BASIS
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2502533
Location: RESTON, VA, US
Date Posted: 2025-02-25
Category: Information Technology
Subcategory: Enterprise Architect
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance.
SAIC is seeking a Chief Data Architect to define a Big Data implementation framework; translate mission needs into Big Data system, analytic, and visualization tools requirements; and work with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data; responsible for managing digital data that comes from many different data providers; consists of a variety of structured, semi-structured, and unstructured data types; and has an enormous volume, varying velocity (periodic static documents to real-time data feeds), and is rapidly growing. Duties will include the design, development, test, deployment, and use of associated advanced analytic and data science tools including, data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
Qualifications
Required:
Desired:
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: RESTON, VA, US
Date Posted: 2025-02-25
Category: Information Technology
Subcategory: Enterprise Architect
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance.
SAIC is seeking a Chief Data Architect to define a Big Data implementation framework; translate mission needs into Big Data system, analytic, and visualization tools requirements; and work with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data; responsible for managing digital data that comes from many different data providers; consists of a variety of structured, semi-structured, and unstructured data types; and has an enormous volume, varying velocity (periodic static documents to real-time data feeds), and is rapidly growing. Duties will include the design, development, test, deployment, and use of associated advanced analytic and data science tools including, data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
Qualifications
Required:
- Active TS/SCI with polygraph clearance.
- Bachelor's degree in computer science, data analytics, software engineering, or related technical field.
- A minimum of five (5) years of hands-on experience with Big Data applications, such as Hadoop, and associated applications (e.g., administration, CM, monitoring, performance tuning, etc.)
Desired:
- Experience working in a government mission Data Exploitation environment (e.g., acquiring data, storing data, processing data, analyzing data, visualizing data, turning data into intelligence products, disseminating data, and knowledge management).
- Experience supporting a cloud computing environment (e.g., private, hybrid, and/or public).
- Experience leading and managing cross-functional technology team.
- Experience leading major programming/scripting languages like Java, Linux, C+ +, PHP, Ruby, Python and/or R.
- Experience working with ETL tools such as Informatica, Talend, and/or Pentaho.
- Experience designing solutions for multiple large data warehouses with cluster and parallel architecture as well as high-scale or distributed platforms.
- Experience in the research and development of applications/services in disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modeling, Statistical Analysis, Predictive Modeling, and Hypothesis testing.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.