Data is growing exponentially and the Internet of Things (IoT) data is the fastest-growing data segment, followed by social media. Data Architecture (DA), focuses on describing collecting, storing, processing, and analyzing the data to meet the business needs for information. In this tool demo paper, we present our architecture-driven named DAT. This tool enables data architects, data engineers, and other stakeholders to describe the data flow, data pipeline, and data architecture in a simple and easy way. We evaluated this work by modeling five case studies, receiving expressiveness and ease of use feedbacks from two different companies, more than six researchers, and eighteen undergraduate students from the software architecture course.