ABOUT PERATON

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

QUALIFICATIONS

• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD; or 12 years of relevant experience in lieu of BS
• Active Top Secret clearance with SCI eligibility
• Must have a current DoD 8570.1-M IAT Level III certification
• Experience in VMware engineering and integration hosting one or more Operating Systems: Windows, Linux, Solaris, UNIX, and/or AIX systems
• Experience in VMware vCloud Enterprise Suite
• Professional-level VMware certification desired
• ITIL Foundations certification desired

• Primarily responsible for leading the development of data models to support business intelligence systems.
• Provide advanced technical support in the research, experimentation, business analysis and use of systems technology including architecture, integration capabilities and database management.
• Develop the end-to-end vision and the logical design that translates into physical databases, and how the data will flow through the successive stages involved.
• Knowledgeable and practices a wider range of data administration skills, often in a Business Process Reengineering context.
• Participate in strategic data planning, including development and implementation of DA policies, standards, and procedures.
• Understand data from the perspective of data processing and in the context of different life-cycle phases.
• Activities may include data quality engineering, metadata consolidation and integration, metamodel development and maintenance, repository management, data warehouse design and data mining, data security administration, and formulation of enterprise-specific data metrics.
• Design, deliver, and optimize Virtual Infrastructure Services to improve security, availability, performance, and resource utilization
• Review current virtual infrastructures, architectures, designs, and operations to identify potential improvements
• Analyze, refine, and document the requirements for transition from legacy architectures into modern virtualized infrastructure environment
• Design virtual Infrastructure services to maximize available capacity of physical compute, storage, and network hardware resources
• Document security, configuration, and performance benchmarks of Virtual Infrastructure Services