Data Architect

Title: Data Architect

Location: Torrance CA/ Marysville OH (Onsite)

Terms: Contract

Job Description:

• Overall experience of 10+ and 5 to 8 years on data architecture principles, methods, techniques and technologies.
• Solid understanding of Business Intelligence and Data Warehouse technologies (e.g., Business Objects, Netezza, Oracle, SQL Server, Informatica, TIBCO, MicroStrategy, SAS, Clara bridge).

Job Description:

• Influence projects/initiatives and drive decisions related to data including data quality, data architecture and data management best practices
• Provide expert data modelling and data validation services that produce flexible, extensible data structure design solutions that support effective business decisions
• Map entities to use cases and business requirements and assist in the development of data services.
• Create and manage an array of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation
• Develop standards for database design and implementation of various strategic data architecture initiatives around master data management, data quality, data management policies/standards, data governance and metadata management
• Serve as an advocate for the data architecture team and data management discipline, policies and standards across the enterprise
• Assist in determining the effectiveness of existing technologies and processes in relation to the data architecture, create necessary implementation/migration plans, and recommend new solutions as required.
• Identify opportunities for sharing and utilizing data across boundaries, thus extracting maximum benefit from the data resource
• Lead associates in data utilization; understanding and interpreting raw data and converting it into information.
• Support analysts in requirements development, research and verification

Academic/Experience/Competency:

• Bachelor's degree, or Master's degree in Computer Science, or applicable field of study
• 5-8 years of experience in data architecture principles, methods, techniques and technologies
• Proven background of designing and implementing architectural solutions which solve strategic and tactical business needs.
• Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derived/analytic data.
• Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing
• Highly competent with relational database design and structured query language (SQL).
• Highly competent with data modeling and unified modeling language (UML).
• Strong familiarity with data management tools, including enterprise repository tools, data modeling tools, data quality tools, data mapping tools, and data profiling tools.
• Solid understanding of Business Intelligence and Data Warehouse technologies (e.g., Business Objects, Netezza, Oracle, SQL Server, Informatica, TIBCO, MicroStrategy, SAS, Clarabridge). Hands on experience a plus.
• Strong aptitude to learn business processes/products and the role of data within the business domain.
• Strong conceptual knowledge of roles and responsibilities within BI and Data Warehousing (DA, ETL, BI, DBA, SE, QA, and PM).
• Working knowledge of SDLCs (RUP, Waterfall, and Agile).
• Demonstrated ability to balance architectural theory with practical solutions.
• Ability to adapt quickly in a rapidly changing dynamic environment.
• Ability to manage a large workload covering multiple projects and business disciplines.
• Excellent organizational and negotiating skills. Highly motivated, self-directed, results oriented problem solver
• Tasks completed on a daily, weekly, monthly or annual basis; project assigned
• Multiple projects. Ex. AHFC Data and Analysis