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2015-09-02 13:22:17
Primary Responsibilities: Develop and drive acceptance of an enterprise view of data and its use across the enterprise. Provide thought leadership for definition/maintenance of complex enterprise data models, data dictionaries, and master data management techniques. Develop and document data requirements and design specifications in the form of data models, data mappings and data quality metrics. Develop, improve and support enterprise data standards and data architecture policies and procedures. Monitor and enforce compliance of data standards to minimize data redundancies and enhance information quality throughout the organization. Implement and document the client company\'s data architecture and data strategy Lead the analysis, design, development and implementation of logical data models, physical database objects, data conversion, integration, and loading processes, query and reporting functions, data management and governance and data quality assurance processes Understand and employ best practices for relational and multidimensional database design and understands appropriate application for each. Assists in developing enterprise-level strategies and principles for the integration of enterprise information resources by helping to define standards for data format, quality, and database design. Build and maintain the enterprise information model and ensure linkages to other architecture models and reference architectures Work in collaboration with the ETL developers to provide source to target ETL requirements and ensure efficient transformation and loading Education Bachelor\'s Computer Science, Information Management Solid understanding of data modeling principles, methods and techniques to drive technology optimization, data consolidation and technology strategy recommendations Knowledge of enterprise architecture functioning for driving data and information related governance and strategy in the organization Knowledge of data management, data quality, data management with in-depth expertise of data optimization strategy Highly skilled in developing data architectures and standards Demonstrated strong sills in data analysis and profiling, data integration knowledge, database engineering (i.e. DB2 and SQL Server) and design Master data hub architecture, data design and implementation Data warehouse architecture, data mining, data design and implementation 8 - 10+ years of hands-on experience in database management, including an in-depth knowledge of mainframe, distributed technologies and their interdependence 5+ years experience in data architecture, integrating and analyzing disparate data sources, and data quality improvement, preferably in the insurance industry Strong understanding of SDLC and architectural methodologies and frameworks and their practical application. Has an advance understanding and vision of the complete lifecycle of database, data warehouse and data mart development Proficient with a data modeling tool(s) (ERWIN, MS VISIO, IBM Rational Data Architect, etc.)
Key Skills:
Data Architect Location: Columbus, GA
2015-09-02 13:22:17
Job Type:
Full Time only
Budget $: 100,000 - 200,000
Budget $: 100,000 - 200,000
Primary Responsibilities: Develop and drive acceptance of an enterprise view of data and its use across the enterprise. Provide thought leadership for definition/maintenance of complex enterprise data models, data dictionaries, and master data management techniques. Develop and document data requirements and design specifications in the form of data models, data mappings and data quality metrics. Develop, improve and support enterprise data standards and data architecture policies and procedures. Monitor and enforce compliance of data standards to minimize data redundancies and enhance information quality throughout the organization. Implement and document the client company\'s data architecture and data strategy Lead the analysis, design, development and implementation of logical data models, physical database objects, data conversion, integration, and loading processes, query and reporting functions, data management and governance and data quality assurance processes Understand and employ best practices for relational and multidimensional database design and understands appropriate application for each. Assists in developing enterprise-level strategies and principles for the integration of enterprise information resources by helping to define standards for data format, quality, and database design. Build and maintain the enterprise information model and ensure linkages to other architecture models and reference architectures Work in collaboration with the ETL developers to provide source to target ETL requirements and ensure efficient transformation and loading Education Bachelor\'s Computer Science, Information Management Solid understanding of data modeling principles, methods and techniques to drive technology optimization, data consolidation and technology strategy recommendations Knowledge of enterprise architecture functioning for driving data and information related governance and strategy in the organization Knowledge of data management, data quality, data management with in-depth expertise of data optimization strategy Highly skilled in developing data architectures and standards Demonstrated strong sills in data analysis and profiling, data integration knowledge, database engineering (i.e. DB2 and SQL Server) and design Master data hub architecture, data design and implementation Data warehouse architecture, data mining, data design and implementation 8 - 10+ years of hands-on experience in database management, including an in-depth knowledge of mainframe, distributed technologies and their interdependence 5+ years experience in data architecture, integrating and analyzing disparate data sources, and data quality improvement, preferably in the insurance industry Strong understanding of SDLC and architectural methodologies and frameworks and their practical application. Has an advance understanding and vision of the complete lifecycle of database, data warehouse and data mart development Proficient with a data modeling tool(s) (ERWIN, MS VISIO, IBM Rational Data Architect, etc.)
Key Skills:
