Many programs are investing in shared-service, cloud-native data processing and management platform architectures to facilitate the scale required by large user communities with an increasing volume, variety, and velocity of disparate data. Without the right architecture in place, this paradigm shift presents itself as a diametrically opposing force to the concept of Zero Trust. This paper addresses how Immuta uniquely and efficiently enables Zero Trust security for data analytics, resulting in faster time to insights, lower operational overhead, and more effective achievement of data strategy goals.