Data Architect

Full job description

WCBinc is looking for a Data Architect. As a Data Architect you will help ensure today is safe and tomorrow is smarter. Our work depends on TS/SCI cleared Data Architect joining our team to support our intelligence customer in St. Louis, MO or Springfield, VA.

Responsibilities for Data Architect

• Research and properly evaluate sources of information to determine possible limitations in reliability or usability
• Apply sampling techniques to effectively determine and define ideal categories to be questioned
• Compare and analyze provided statistical information to identify patterns, relationships and problems
• Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
• Prepare detailed reports for management and other departments by analyzing and interpreting data
• Train assistants and other members of the team how to properly organize findings and read data collected
• Design computer code using various languages to improve and update software and applications
• Refer to previous instances and findings to determine the ideal method for gathering data
• Support the Geospatial Services and Solutions business area to provide high-quality, cost-effective solutions to the customer
• Design and implement automation solutions to enhance data capture, data refinement, and processes. Coding examples include:
  • Interfacing with device APIs in order to collect operational metrics
  • Providing automated VoIP phone setup
  • Administering and automating data pipelines between different environments
• Utilize best practices for source control, testing, and deployment of software changes
• Work in close collaboration with other automation engineers, infrastructure administrators, and data scientists
• Diagnose, isolate, and expediently resolve complex problems pertaining to data structures
• Develop methods of ensuring data incompatibilities among systems are systematically eliminated
• Design, Develop and recommend data management policies, standards, practices, and security measures to ensure effective and consistent data management operations
• Participate in continuous improvement efforts to increase data availability, data quality, and speed of access
• Maintain up-to-date documentation of designs/configurations, ensuring team members have continuity of recurring tasks

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