Job Description :
The Retail Data Warehouse Data Architect
specializes in understanding and anticipating the intricacies of a data warehouse project through proper data profiling, complex data modeling, integration and physical implementation in a Teradata/Oracle environment. During
development, this individual reviews specification changes and helps to identify their impact on the development team. Provide guidance during project team reviews at enterprise architectural board meeting to the right source of
data to accomplish business goals. This individual will also have a deep understanding of large scale data warehouse solutions in varying design patterns and how to translate it to simple business use case and value.
This is an Advisor level position and works with peers, directors, business leaders and all aspects of
information technology (IT) to ensure there is a Retail data warehouse strategy and roadmap to accomplish the goals of the business. This role requires advanced data modeling experience, tactical task planning, and deep technical
subject matter expertise. This individual should have the ability to deliver a world class, stable data warehouse design that meets the short and long-term demands of the business.

The right candidate for this role will have:
Experience with performance & tuning techniques and their relationship to optimized data models,
playing a project team mentoring role in enterprise-wide data quality, business data stewardship, and data modeling project assignments, and in data modeling and design patterns, data flow diagramming, data warehousing, business
intelligence and the complexity in aligning a metadata management program.
Working knowledge of and how to apply within a data warehouse framework; an application and analytical
reporting environment, aligned tools and techniques, and a service oriented data delivery for near real-time reporting including advanced skills in software development methodologies and possesses the ability to disseminate them to a team.
Experience in the design and implementation of high volume, high available processing solutions as well as knowledge of n-tier architectures and complex data integration patterns.
Strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation while demonstrating a sense of urgency in completing tasks and resolving issues in order to deliver quality projects on time and within budget by using strong problem solving, time management and organizational skills.