The text discusses the challenges faced by data engineering teams due to resource efficiency, complexity of tooling, and infrastructure management. It suggests three strategies to overcome these challenges: optimizing resource allocation, simplifying the data stack, and calculating total cost of ownership. These strategies aim to streamline processes, reduce costs, and improve ROI for data engineering efforts.