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