Cyber Systems Architect

1 month ago

Woodlawn, United States Centstone Full time
Job DescriptionJob DescriptionJob Title: Cyber Systems ArchitectLocation: Woodlawn, MDDuration: Long TermDescription of Work:Peraton Global Health and Financial Solutions sector is seeking a Cyber Database Architect responsible for developing and implementing proper architecture and engineering safeguards around cyber security data. The architect is expected to have a deep knowledge of a broad range of information and physical security controls to protect data stores (potentially including the data, the data applications or stored functions, the data systems, the data servers, and the associated network links) against compromises of their confidentiality, integrity, and availability. Performs requirements analysis and developing strategies and solutions for cyber security, risk, and information governance. Helps identify and evaluate gaps and potential areas of security exposure.Duties and Responsibilities:
  • Design, develop, build, analyze, and evaluate unstructured data stream from varies data sources to include database modeling and design, relational database architecture, metadata and repository creation and configuration management.
  • Defining and overseeing database organizations, standards, controls, procedures, and documentation.
  • Providing technical consulting in the definition, design, and creation of a data base environment.
  • Advising applications development staff and users on data-based solutions to business problems, data architectures, data base management system facilities and capabilities, and the operation and tuning of data bases.
  • Ensuring economic and efficient availability of data within adequate safeguards.
  • Designing and implementing databases with respect to access methods, access time, batch processes, device allocation, validation checks, organization, protection and security, documentation, and statistical methods.
  • Using data mapping, data mining and data transformational analysis tools to design and develop databases.
  • Determining data storage and optimum storage requirements.
  • Preparing system requirements, source analysis and process analyses and design throughout the database implementation.
Basic Qualifications:Minimum knowledge, skills, abilities needed.
  • Bachelor's degree and 8 years of experience, Master's degree and 6 years of experience, or 12 years of experience in lieu of a degree
  • Minimum 4-6 years of experience in building out Data Warehouses/ Data models / Data repositories, and/or Data Lakes
  • Minimum 4-6 years of experience in leveraging pre-load data pull from a mature data model
  • Minimum of 4-6 years of experience in creating consolidated data sets that conforms to a Common Information Model made up of senor tool data sources that's already aggregated together & is also already searchable
  • Minimum of 3 years transforming already good data (data that has been normalized) into the format needed for ingestion by Xacta.IO and CDM Elastic
  • Minimum 4 years of experience in creating data pipelines to allow transfer of data from data source to I/O through Splunk
  • Minimum 4 years of experience creating data Information Identifiers/tag Identifies within data models
  • Minimum 4 years of experience working with data source sensor tools such as Tanium, Nessus, McAfee, firewalls, networking equipment to collect data points
  • Minimum 2 years of experience with creating data tattoos and with mapping data back to the tattoo as defined
  • Minimum 3 years of experience with taking Production ready data and include it in Cyber Risk data model(s)
  • Must be able to obtain and maintain a US Public Trust clearance.
Preferred Qualifications:Candidates with these skills will be given preferential consideration.
  • Exceptional technical writing skills
  • Ability to communicate complex data in a simple, actionable way
  • Ability to visualize data in the most effective way possible for a given project or study
  • Analytical and problem-solving skills
  • Experience with machine learning and AI
  • Familiarity with data management tools
  • Ability to work independently and with team members from different backgrounds
  • Excellent attention to detail.

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