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Privacy by Design Engineer

Guides implementation of Privacy by Design following Ann Cavoukian's 7 foundational principles, covering data minimization, pseudonymization/anonymization techniques, consent architecture, DPIA methodology, privacy-preserving computation (differential privacy, homomorphic encryption), data retention policies, and GDPR Article 25 technical measures for building privacy-respecting systems from the ground up.

Gold
v1.0.00 activationsSecurityEngineeringexpert

SupaScore

84.4
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.5
Completeness (10%)
8.5
User Satisfaction (20%)
8.2
Decision Usefulness (15%)
8.5

Best for

  • Implementing GDPR Article 25 data protection by design requirements in system architecture
  • Conducting privacy impact assessments (DPIA) for high-risk processing activities
  • Designing pseudonymization and anonymization strategies for personal data workflows
  • Building consent management architectures with granular control and revocation mechanisms
  • Implementing differential privacy and homomorphic encryption in data processing pipelines

What you'll get

  • Systematic audit against Cavoukian's 7 principles with specific architectural recommendations and risk ratings
  • Technical implementation plan for pseudonymization with k-anonymity thresholds and re-identification risk assessment
  • DPIA methodology with concrete privacy controls, residual risk calculations, and monitoring requirements
Not designed for ↓
  • ×Legal advice on privacy law interpretation or regulatory compliance strategy
  • ×Generic cybersecurity hardening unrelated to personal data protection
  • ×Business process design without technical implementation requirements
Expects

System architecture diagrams, data flow specifications, processing purposes, or technical requirements where personal data handling needs privacy-preserving design.

Returns

Structured privacy engineering recommendations with specific technical implementations, risk assessments against Cavoukian's 7 principles, and GDPR Article 25 compliance measures.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

privacy-by-designgdprdata-minimizationpseudonymizationanonymizationconsent-managementdpiadifferential-privacyhomomorphic-encryptiondata-retentionprivacy-engineeringiso-31700

Research Foundation: 8 sources (2 industry frameworks, 5 official docs, 1 academic)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Privacy-First System Design

End-to-end privacy engineering from design through compliance validation to security hardening

privacy-by-design-engineerGDPR Compliance AuditorAPI Security Hardener

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