Title -- Data Architect Location - Boca Raton FL Duration - 6+m Our client is seeking a Sr. Data Architect with 10 to 15 years of applicable/demonstrated experience of designing databases for large scale applications. This person will contribute to the overall data architecture strategy through analysis, design and creation for the enterprise environment. This person will perform detailed analysis of business processes to define Architecture requirements. The Data Architect has senior-level technical responsibility for overseeing the design, development, implementation and maintenance of the Data Architecture function. This position will serve as the in-house expert and authority driving innovative data designs and is responsible for the overall plans to initiate and pursue continuous data quality improvements.
Responsibilities: - Holds overall, senior-level technical responsibility for management, planning, design and implementation of enterprise Data Architecture domain to ensure alignment of Service Oriented Architecture with business strategy – tools, guidelines, principles, policies and governance. - Maintains accountability for establishing the Data Architecture vision and championing efforts to reach that vision. Serves as the in-house expert and authority by defining, implementing and enforcing all data integration standards and documentation. - Continually reviews and suggests improvement to the Data Architecture processes, policies, and vision and explores new and emerging technologies. Leads the investigation and adaptation of beneficial Data Architecture technologies and tools. - Leads strategy, development and implementation of an Enterprise Data Model and strategy development for usage. - Defines strategies and standards for Business Data Integration. Serves as the “IT owner” for Business Data Strategy & functions necessary to support the strategy. - Contributes in developing transparent and well understood enterprise data governance processes, rules and technologies to support them. - Provides deep expertise in enterprise data and information management methods and standards. - Drives the business requirement and associated review sessions into effective data integration. Guides world class data expertise and knowledge regarding customer and associated data across the infrastructure - Promotes data sharing, consistency and reuse across the eco-system. Manages reviews of data quality deliverables of all phases and enhancements. - Collaborates with business units and data owners to successfully implement and maintain a enterprise level business analytics and data warehousing solution. Identifies and promotes best practices for data modeling within information areas across company, providing oversight for all activities related to data cleansing, data quality and data consolidation using industry standard data modeling methods and processes. Preferred: - Ensures that operational and analytical data warehouses are able to support all business requirements for business reporting across the organization. - Displays demonstrated ability in communicating the overall customer data architecture to both technical and business constituencies. - Develops guidelines and best practices to ensure data standardization and consistency. - Leads design of exception handling and data cleansing / standardization procedures and business transformation rules and logic. - Candidate must possess at least a Bachelor's Degree, Post Graduate Diploma or Professional Degree in Computer Science/Information Technology or equivalent. - At least 10 years experience in Data Architecture and in Data modeling, Database design, Computer programming. - 8 years experience including at least 2 enterprise level data solutions or architecture projects. Deep understanding of relational DBMS and SQL. - Experience in assessing and closing transactional and business intelligence/analytics data gaps in large scale heterogeneous environment - Experience defining and enabling Service Oriented Architecture (SOA) required. - A minimum of seven years of full lifecycle data warehousing experience. Five to seven years of experience in leading data integration efforts in large scale programs. - Experience with one or more of the following database engines: (SQL Server) and experience with data modeling tools. - Experience in metadata, systems administration, application tuning and debugging. - Deep understanding of core architectural principles such as modularity, restorability, parallelization and table driven business rules. Deep understanding of information delivery architecture including the creation of abstraction layers, SQL query paths and optimization, report level calculations and end user reporting architecture. - Knowledge, experience and success in management of complex data architecture and data management projects. Knowledge of data management and planning including use of tools and techniques for data modeling, database design, database administration, metadata management, and data quality assurance. - Knowledge of tools and methods used to facilitate effective data architecture and data management such as SQL DML and DDL, PL/SQL, T/SQL, Enterprise Architect, Rational Data Architect, Rational Rose and/or Software Architect, Fileman Electronic Data Dictionary, Oracle, OOAD, HL7 Versions 2 and 3, SOA, Oracle Designer, Visio, 11179 Metadata Registry standard, DRM, Cache, SQL Server, Rational Enterprise Suite, Java, M, HTML, JavaScript, XML, XSD, CWM, XMI, ORM, XSLT, SOAP, WSDL, Distributed Transactions, Database Servers, Database COOP, Office, OWL, XPATH, UNIX, Linux, Windows, and Project. -- Regards, krish mylangam, kri...@gdninfo.net. -- You received this message because you are subscribed to the Google Groups "KNOW.IT" group. To post to this group, send email to know_it...@googlegroups.com. 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