Role: Sr Data Architect
Location: Marysville OH or Torrance CA 2 3 days a week
Long term Contract
Senior Data Architect who has experience working with todays most popular platforms. The Sr Data Architect will coordinate with business and technical teams to gather requirements define standards and implement a holistic data architecture for North American systems while ensuring adherence to global business and technical requirements.
Your responsibilities:
- 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).
Requirements:
- In uence projects/initiatives and drive decisions related to data including data quality data architecture and data management best practices
- Provide expert data modeling and data validation services that produce exible extensible data structure design solutions that support e ective business decisions
- Create and manage an array of data design deliverables including data models data diagrams data ows 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 e ectiveness 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 bene t 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 veri cation
- 58 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 datarelated disciplines and technologies particularly for enterprisewide data architectures data management data governance and data warehousing
- Strong familiarity with data management tools including enterprise repository tools data modeling tools data quality tools data mapping tools and data pro ling tools.