Enforce Data Residency Bigquery Organization Policy

What the Solution Is

This architecture combines Google Cloud Organization Policies, localized single-region resource placement in BigQuery and Cloud Storage, and BigQuery regional endpoints to enforce strict data sovereignty and residency boundaries within a single geographic territory.

How It Meets the Requirements

• Preventing unauthorized deployment across borders: Applying the Resource Locations constraint (constraints/gcp.resourceLocations) at the organization or folder level restricts the deployment of all supported storage and compute resources exclusively to europe-west1, blocking non-compliant provisioning attempts.
• Localized data storage and processing: Creating both the Cloud Storage staging buckets and BigQuery datasets in the europe-west1 single region ensures data at rest is stored strictly within Belgium. When BigQuery runs queries against or loads data from colocated single-region datasets, the compute execution and temporary shuffle data remain confined to that specific region.
• In-transit data sovereignty and API routing: Directing requests to the regional endpoint bigquery.europe-west1.rep.googleapis.com ensures that TLS sessions terminate inside europe-west1 and prevents API requests or in-transit data from being routed through global entry points outside the regulatory boundary.

Key Advantages and Capabilities

• Preventative governance: Centrally enforced Organization Policies remove reliance on developer discipline, automatically blocking non-compliant region provisioning.
• Zero cross-border network egress: Colocating storage, ingestion pipelines, and query execution within the same region eliminates inter-region network traversal.
• Controlled TLS termination: Regional endpoints keep data in transit and query execution within the mandated physical border.
• Audit readiness: Provides clear compliance mapping for data locality audits by guaranteeing both storage and compute locality.

Why This Is Optimal

This configuration provides end-to-end data residency at the resource configuration, query processing, and network transit layers without risking the broader geographic distribution inherent in multi-region or dual-region services.