Data ArchitectVisa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099 Corp-Corp or 3rd Parties: YesThis person must have the ability to understand complex data relations, business requirements, formulate efficient and reliable solutions to difficult problems. The candidate should have in-depth knowledge and understanding of RDBMS concepts and experienced in writing complex queries and data integration processes in SQL/TSQL and NoSQL. This individual will be responsible for creating the design, development and implementation of new and existing applications.Work Collaboratively with all levels of business stakeholders to architect, implement and test Big Data based analytical solution from disparate sourcesResponsible for providing subject matter expertise in design of database schemes and performing data modeling (logical and physical models), for product feature enhancements as well as extending analytical capabilities.Reviews the existing database design and data management procedures and provides recommendations for improvement.Demonstrate and understanding of concepts, best practices and functions to implement a Big Data solution in a corporate environment.Design of scalable Big Data Architectures and solutionsTranslate business requirements into technical designsImplementation of some or all of the big data systems in distributed cloud environmentsDatabase, storage, and other back-end services in fully virtualized environmentsScalability and high availability, fault tolerance, and elasticitySecurity, encryption for Big Data environmentsDevelop technical documentation as needed.Architect, Design and maintain high performing ELT/ETL and SQL Processes.Big Data platform design i.e.
tool selection, data integration, and data preparation for predictive modeling.Monitoring, alerts, and automated recoveryParticipate in an Agile SDLC to deliver new cloud platform services and componentsChampion best practices for Linux administration and Security for delivery of cloud servicesSet architectural vision and direction across a matrix of teamsProven industry leader in Big data architecture and operationsStrong experience with one or more ETL/ELT tools.Analyze, architect, develop, validate and support integrating data into the SEW platform from external data source; Files (XML, CSV, XLS, etc.), APIs (REST, SOAP), RDBMS.Deep expertise in Hadoop ecosystem and NoSQL database technologies.Comprehensive knowledge and experience in process improvement, normalization/de-normalization, data extraction, data cleansing and data manipulation.Practical experience with the data modeling (dimensional, relational, star schemas, snowflake schema modeling with facts and dimensions).Demonstrated thought leadership and interpersonal skillsEstablished experience with automated, elastic scaling of cloud services, automated deployment and remediationExperience with implementation of Cloud application fabric technologies such as Cloud FoundryHigh level of ownership and accountabilityRequired experience:Bachelor's degree in Computer Science, Information Technology, Information Security, Mathematics, Analytical modeling or closely related discipline.Professional experience in DataBase Technology, Architecture, Hosting Technologies (5-8 years) & Data Warehouse ToolsMinimum of 4-6 years of experience in data modeling (including conceptual, logical and physical data models.Experience in processing large data volumes ind