Data Governance
Privacy Engineering Patterns for Feature Teams
Translate DPIA-style questions into engineering tasks that ship with privacy-preserving defaults.
Overview
Feature teams learn how to embed data minimization, retention hooks, and access reviews into definition-of-done. The course references Korean PIPA concepts at a high level while staying tool-agnostic. You will draft engineering-ready privacy notes, design feature flags for consent-sensitive flows, and plan telemetry reviews.
What is included
- Privacy note template aligned to sprint cadence
- Feature flag checklist for consent-sensitive flows
- Telemetry review worksheet
- Pairing guide for legal and engineering
- Sample retention hook stories
- Threat-style brainstorming for misuse cases
- Office hours with a customer success specialist
Outcomes
- Ship one feature with an engineering privacy note on file
- Add a retention reminder tied to a datastore owner
- Run a telemetry review that removes unused fields
Lead facilitator
Nari Feld
Customer success specialist supporting privacy program rollouts in APAC.
Participant questions
We coach collaboration patterns; your counsel reviews final submissions.
Recent notes
“Telemetry review worksheet caught three dormant events still shipping to an old bucket.”
“Pairing guide helped PMs stop treating privacy notes as a Friday afterthought.”