• Assisting with account qualification utilizing knowledge of industry solutions, data models & data volumes for several types of customers and applying this knowledge to determine applicability of Teradata’s offerings.
• Understanding, documenting and articulating the customer’s current data and analytic ecosystem architecture. This includes a complete inventory of the customer’s data warehouses and datamarts as well as their respective business functions.
• Understanding competitive products such as Oracle, IBM, Netezza, Greenplum, etc
• Demonstrating and utilizing knowledge of business problems that customers face, and how data and analytical solutions can help solve. Experience across multiple industries is a plus.
• Articulating Teradata’s solutions to the business problems mentioned above using the complete set of Teradata Solutions and Services.
• Coordination of customer benchmark and proof of value activities as needed.
• Conducting presentations on Teradata solutions through effective communication, and consultative dialogue
• Being a trusted advisor to the customer’s decision-makers by establishing credibility and expertise in data warehouse technology/architecture, data management, analytics, database marketing, business intelligence, customer profitability solutions, and other areas related to Teradata’s solution offerings.
• Identifying new application and consulting services opportunities that will lead to additional data being added to the customer’s data and analytic ecosystem.
• Timely, accurate administration & reporting (PSA, expenses, forecasts, etc.)
• Contributing Knowledge Assets to the internal Knowledge repository site.
• Work Environment 
• The Sales Engineer will work from a virtual (home) office with considerable time required onsite with customer(s).  25%+ travel is required. A combination of independent work and team collaboration will be required.

Basic Qualifications

• Five years or more of client-facing Pre-sales / Sales Support experience directly contributing to drive revenues.
• Seven years or more of operational or technical RDBMS experience in a data warehouse, data lake or similar implementation
• Client interface and consulting skills in large Fortune 500 companies
• Experience with large data and analytic implementations including data warehousing, data lakes, and related analytical ecosystem architecture. General knowledge of current data architectures to support these technologies.
• Solid understanding of current data architecture topics including Big Data and Analytics
• Understanding of parallel data base and/or file system architectures
• Ability to consult with customers on large database deployment decisions in terms of on-premises, private cloud, and public cloud options, with the ability to influence customers decisions in those areas
• Hands-on experience in working with the Teradata RDBMS, including Teradata Active System Management (TASM), Performance tuning, and DBQL/Dictionary analysis is a plus
• Experience in analytic solutions around non-traditional data types such as text, log files, audio, video is a plus
• Deep desire for self-learning and continuous knowledge gain in the data and analytics domain.
• English/Spanish advanced spoken adn written level is required for the role.