A media analytics company ingests roughly 40 TB of raw sensor logs per month as newline-delimited JSON files. Data engineers must run large-scale Spark analytics jobs across the entire dataset using Azure Synapse and Databricks, and they need hierarchical folder organization plus fine-grained POSIX-style access control lists on directories. Storage cost must be minimized while supporting massive parallel analytical reads. Which storage option should you recommend?