Your organization uses BigQuery to process highly sensitive, structured datasets. Following the "need to know" principle, you need to create the Identity and Access Management (IAM) design to meet…

Configuring data access logs is crucial for the security operator to review activity, but granting the 'Project Viewer' role is too broad and violates the 'need to know' principle for a security operator who only needs to review logs, not view all project resources.

Setting row-based access control is a valid data access control mechanism for BigQuery but is specific to filtering records based on column values and doesn't directly address the broader IAM design for distinct user roles (business user, data engineer, security operator) as requested.

Creating curated tables in a separate dataset specifically for business users and assigning them the `roles/bigquery.dataViewer` role adheres to the 'need to know' principle by granting access only to the necessary, pre-processed data. This limits their visibility to only the reports they need, without exposing them to the raw, sensitive datasets or granting broader administrative privileges.

Generating and emailing CSV files is not a scalable, secure, or manageable IAM solution for providing access to curated reports in a cloud environment; it risks uncontrolled data dissemination and lacks proper access governance.