Key Areas of Responsibility
Provide direct and substantial support of the team's revenue and margin objectives by :
Assisting with account qualification utilizing knowledge of technology, services and industry assets and solutions for the various types of companies in their industry, and applying this knowledge to determine applicability of Teradata and Partners Solutions
Gathering and documenting client requirements and translating them into process and system architecture designs patterns.
Understand the client’s business goals, information needs, application requirements, IT plans, and architecture and articulate linkage to the proposed architecture and application designs.
Understanding competitive offering such as Oracle, IBM, SAP , Microsoft, etc.
Demonstrating and utilizing knowledge of business problems of customers in their industry and the ability to relate those to the underlying data and the ability of Data Warehouse & Big Data technology to solve the business problems.
Articulating Teradata's value Proposition to business problems using the Teradata and Partners / Open Source Solutions, Professional Services and solution offerings.
Being a trusted advisor to the customer's decision makers by establishing credibility and expertise in data warehouse and big data technology and architecture, big data analytics, pre-
build solutions, and other areas related to Teradata's solution offerings.
Contributing to the financial objectives of the team through business development and demand-creation activities.
Contributing Knowledge Assets to the Teradata Knowledge Management System and Network (Up to the R&D).
Working with Sales, Industry consultants and Data Science teams to generate new profitable business : articulate, demonstrate, and scope Teradata solution offers and services.
Work with Teradata project managers to scope projects and develop statements of work, project plans, and risk analysis.
Provide technical thought leadership and actively participate in the application design, implementation, and roll-out efforts.
The individual must have strong architecture consultant (or equivalent) experience and have solution implementation experience Broad technical expertise combined with business acumen.
Technical knowledge and in depth experience with building Analytical Data Ecosystem, Data Lake, BI, Data Warehouses, Big Data analytics solutions, and technologies.
Knowledge of Architecture Principles, Advocated Positions, Design Patterns, and Implementation Alternatives.
Understanding of the Cloud architecture and principles (ex : AWS, Azure)
Knowledge of SQL and others language (Python, R, Java ..) appreciated
Operational knowledge of third party Analytic, BI and Data Ecosystem solutions (Open Source & Commercial)
Understanding of Master Data Management concepts and principles
Analytical and problem solving skills
Experience in consulting with senior level executives
Excellent presentation and consulting skills, with ability to influence decision makers.
Should be familiar with the concepts utilized within architecture frameworks such as TOGAF, Zachman, TEAF, FEAF with certification a plus.
Excellent negotiation skills and ability to build alignment between organizations in a cross-functional teaming environment
Profile and Education Requirements
Information Technology (IT) related degree, a Master Degree is Preferred
Excellent communication (written and oral) and interpersonal skills
Any successful candidate will be required to be fluent in English.