Netflix has introduced the Media Data Lake, a sophisticated data infrastructure designed to optimize the management and utilization of media assets for machine learning applications. This system bridges traditional data engineering with the demands of media-centric machine learning, organizing multimodal assets into structured Media Tables enriched with metadata and machine learning model outputs. Utilizing LanceDB and the Multimodal Lakehouse architecture, it supports real-time and offline processing, enabling efficient querying and indexing of vast amounts of unstructured data. This innovation allows Netflix to seamlessly integrate creative workflows with machine learning pipelines, facilitating advanced applications like HDR remastering and narrative understanding while promoting collaboration among developers, data scientists, and engineers. By anchoring its Media Data Lake on LanceDB, Netflix not only enhances its own production capabilities but also sets a new standard for handling multimodal data, offering open-source solutions that can be adopted by other teams working with similar data challenges.