Case study

AWS Data Platform Governance

Governed data-platform infrastructure across a multi-account AWS organization — access controlled by policy instead of one-off permissions.

Problem

As a data platform spreads across many AWS accounts, ad-hoc permissions stop scaling: access becomes inconsistent, hard to audit, and slow to grant. Analytics and processing workloads needed one governed, auditable path to data.

Approach

• Amazon Lake Formation enforces fine-grained permissions with Tag-Based Access Control (TBAC) and Role-Based Access Control (RBAC), so access follows data classification and roles rather than per-dataset grants.
• Amazon DataZone provides the cataloged, governed layer through which consumers discover and access data.
• IAM role chaining carries least-privilege access across account boundaries to Amazon Redshift warehousing and Amazon EMR processing workloads.

Outcome

• Governed, secure, and scalable data access across AWS environments.
• A repeatable pattern for granting data access through tags and roles rather than one-off permission requests.

Stack