architect-data-privacy

Design privacy-compliant data architectures integrating consent management and DSR automation for Braze.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/delta-and-beta/braze-agency --skill architect-data-privacy
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Skill: architect-data-privacy
Source: https://github.com/delta-and-beta/braze-agency/tree/main/skills/architect-data-privacy
Command: npx skills add https://github.com/delta-and-beta/braze-agency --skill architect-data-privacy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Architects and engineering teams need a repeatable design to ensure user consent, data subject rights (DSR), and regulatory requirements are enforced across Braze and connected systems so that marketing and analytics activities remain compliant and auditable.

Core Features & Use Cases

  • Consent propagation: patterns to capture, normalize, version, and propagate CMP signals (OneTrust, Ketch) into Braze subscription groups and attributes.
  • DSR automation: end-to-end deletion and export workflows that trigger Braze hard-deletes, confirm receipts, and enumerate downstream systems for full fulfillment.
  • Compliance-by-design: attribute tagging, jurisdiction-aware schema, retention enforcement, and audit trails to prevent consent drift and enable safe segmentation.
  • Use case: integrate OneTrust to update subscription groups in Braze in near-real-time while ensuring deletion requests from DataGrail result in idempotent, auditable profile removals.

Quick Start

Use the architect-data-privacy skill to design a consent propagation and automated DSR workflow that maps OneTrust/Ketch/DataGrail signals to Braze subscription states and hard-delete confirmations.

Frequently Asked Questions about architect-data-privacy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I propagate consent signals from OneTrust or Ketch into Braze subscription groups?

Consent propagation involves capturing, normalizing, and versioning CMP signals from OneTrust or Ketch to update Braze subscription groups and attributes. This architecture ensures a canonical consent record and jurisdiction-aware schema to prevent consent drift.

What is the best way to automate data subject rights (DSR) deletion requests across Braze and downstream systems?

Automating DSR deletion requires orchestrating end-to-end workflows that trigger Braze hard-deletes, generate confirmation receipts, and enumerate downstream systems. Implementing idempotent deletion workflows ensures auditable profile removals without duplicating requests.

Does this privacy architecture support integrating DataGrail for Braze profile removals?

Integrating DataGrail is supported to trigger idempotent, auditable profile removals. The architecture maps DataGrail deletion requests to Braze hard-delete confirmations while maintaining strict audit trails across connected systems.

Why do I need consent versioning and jurisdiction-aware attributes in Braze?

Consent versioning and jurisdiction-aware attributes are required to enforce compliance-by-design and safe segmentation. They provide the necessary audit trails and canonical consent records to satisfy regulatory requirements and prevent unauthorized marketing activities.

How do I enforce retention policies and audit trails for customer data in Braze?

Enforcing retention and audit trails involves applying attribute tagging and jurisdiction-aware schemas within your data architecture. This compliance-by-design approach prevents consent drift and ensures all data subject rights requests are fully auditable.

Can I use this approach to map consent capture and normalization for near-real-time Braze updates?

Mapping consent capture and normalization supports near-real-time updates to Braze subscription states. The architecture applies canonical consent records and Braze API enforcement to synchronize subscription groups efficiently.