Modeling & Simulation Data Architect
Overview: Vencore is a proven provider of information solutions, engineering and analytics for the US Government. With more than 40 years of experience working in the defense, civilian and intelligence communities, Vencore designs, develops and delivers high impact, mission-critical services and solutions to overcome its customers most complex problems. Headquartered in Chantilly, Virginia, Vencore employs 3,800 engineers, analysts, IT specialists and other professionals who strive to be the best at everything they do. Vencore is an AA/EEO Employer - Minorities/Women/Veterans/Disabled Responsibilities: The M&S Data Architect will develop a detailed knowledge of the underlying data and data products and become the subject matter expert on content, current and potential future uses of data, and the quality and interrelationship between core elements of the data repository and data products.The M&S Data Architect will consult with information technology and M&S staff to design and implement scripts, programs, databases, software components and analysis that will support product quality and an in depth understanding of potential uses of the data.Performs a key leadership role in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, text mining, data discovery, statistical methods, database design and implementation.Defines and achieves the strategy roadmap for the enterprise; including data modeling, implementation and data management for the enterprise data warehouse and advanced data analytics systems.Establishes standards and guidelines for the design & development, tuning, deployment and maintenance of information, advanced data analytics, and text mining models and physical data persistence technologies.Provides leadership in establishing analytic environments required for structured, semi-structured and unstructured data.Works with staff and customers to understand the business requirements and business processes, design data warehouse ('DW') schema and define extract-translate-load ('ETL') and/or extract-load-translate ('ELT') processes for DW.Utilization of advanced data analysis, including statistical analysis, data mining techniques, and use of computational packages such as SAS, R or SPSS. Required Qualifications:BS in Electrical/Computer Engineering, Computer Science, Math, Physics, or equivalent, with 5 or more years of relevant experience in a DoD-related program or similar.-Experience in Data Management, Data Storage and Data Analysis. -Technical knowledge with; Big Data storage & analytics, Information Science, Software Development and Databases, Systems Security process and systems engineering. -Proven experience converting large ambiguous data sets into compact visualizations, and transitioning code and requirements to developers. -Experience defining/architecting end-to-end data flow and data management systems, and multi-system/multi-software interface definition & documentation. -Strong experience working directly with non-technical customers and translating requirements into actionable prototypes, and developing formal requirements for such prototypes. -Strong knowledge and experience of software development, modern database and indexing theories. -Strong knowledge and experience of different data storage, search, and retrieval modelsSecurity: Top Secret Clearance is required.