Privacy regulations change how platforms store, move, and expose personal data. DPDP-aligned engineering starts with knowing what personal data you hold and why.
Minimize collection, restrict access with strong identity, encrypt sensitive fields, and log access to personal data stores. Be deliberate about residency and cross-border processing paths.
Build deletion and retention workflows into the platform—not as a helpdesk spreadsheet after a request arrives.
Privacy by design is an architecture choice. Treat it like reliability: design it in early.
Classify datasets and tag stores so backup and analytics pipelines do not silently widen exposure.
Review third-party subprocessors that touch personal data—including observability and support tools.
Practice subject-request workflows end-to-end at least twice a year.
Key takeaways
- Know what personal data you store, why, and where it flows.
- Minimize collection; encrypt and tightly control access to personal data stores.
- Build deletion and retention into the platform—not as a helpdesk afterthought.
FAQ
Does DPDP require data to stay in India?
Requirements evolve and depend on context. Architect for clear residency choices and documented cross-border paths rather than accidental replication.
What is privacy by design for engineers?
Default-deny access, purpose-limited fields, retention jobs, audit logs on personal data access, and product UX that does not collect unnecessary PII.