Typically medallion architecture consists of three phases: raw data, cleaned and validated data and business ready data. This helps pipelines to be easier to manage, as each layer has a specific purpose. It additionally aids teams map back to their source and transformation of a dataset. I have seen teams adopt this method with contemporary lakehouse solutions, as it helps to maintain a well-structured flow to process data without adding to the complexity of the architecture.