Systems Architect

• Current DOC Public Trust clearance 
• Bachelor’s degree and 8 years of experience or 12 years of experience in lieu of a degree
• Minimum 4 years of experience in building out Data Warehouses/ Data models / Data repositories, and/or Data Lakes
• Minimum 4 years of experience in leveraging pre-load data pull from a mature data model
• Minimum of 4 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)

Preferred Qualifications:

• 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

• 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.