A data engineering team is designing storage for a new analytics platform. They will ingest large volumes of semi-structured Parquet and CSV files that must be organized into a folder hierarchy representing raw, curated, and enriched zones. The data will be queried by Azure Synapse Analytics serverless SQL pools and Azure Databricks, and the team requires atomic directory operations (such as renaming and deleting entire folders) and POSIX-like access control on directories. Which storage solution should you recommend to balance features, performance, and cost?