This document discusses designing data pipelines for autonomous analytics. It notes that up to 80% of analyst time is spent on data preparation and that big data is difficult to adopt, process, and trust. It then presents the need for speed, quality, agility and autonomy in big data projects. The solution proposed is to design for autonomous analytics by automating data discovery, preparation, security, documentation and recommending best actions using machine learning to deliver trusted and timely data.