Tamara Kent

About Tamara Kent

Experienced Enterprise Sales Executive with a Passion for Customer Success I am a…

Experience

1. Major Accounts - Data Cloud Strategy Advisor

   Snowflake

   Mar 2025 — Present

   Working with major retailers and financial technology companies on the West Coast enabling them to take advantage of the Snowflake Data Cloud. One of the most compelling reasons why the AI Ready Data Cloud Architecture should appeal to customers is that this framework fits into how you operate your business, rather than forcing you to change how you run your business to adapt to any other framework. By building a framework that is completely agnostic and interoperable, organizations can quickly get up and running with this architecture on Snowflake and start collaborating and building value-driving data assets. The AI Ready Data Cloud Architecture (DCA) is a top down, business centric methodology defining how both internal and external entities collaborate and share assets. DCA focuses on four core concepts seeking to build upon, and not necessarily disrupt legacy architecture patterns. Business leaders need to recognize the sizable investments made over the years by IT, while IT needs to recognize the pace of change and the huge opportunity cloud computing represents.DCA is a composition of the following ideas:Manage Code and Data as Assets — AI/ML models, LLMs, any type of code or data can be moved or referenced, bringing the work to the data, or vice versa.Business Entities Collaborate — Internal LOBs, Partners/Suppliers, Customers own and collaborate on assets in near real time.Governing Constellations — Trust Relationships are formed as the foundation for concepts like, access control and discoverabilityAgnostic and Interoperable — Cloud Agnostic, Underlying Data Architecture Agnostic