A tailored course, built for your situation
Reference of choice on cross-functional privacy calls
Become the internal benchmark for privacy engineering decisions across teams
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Who this is for
Senior data and privacy engineers in complex tech environments who are expected to deliver compliant data systems without sacrificing velocity
Who this is not for
Entry-level practitioners, non-technical compliance staff, or vendors selling privacy tooling
What you walk away with
- Lead ISO 27701 implementation with technical precision and organisational credibility
- Structure compliant data systems that withstand internal and external scrutiny
- Produce reusable compliance artefacts that accelerate future projects
- Anticipate and resolve cross-functional friction points before they delay delivery
- Become the go-to reference for engineering teams navigating privacy requirements
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 27701 in data engineering
Establish core principles of ISO 27701 and how they apply directly to data pipelines and storage architectures.
12 chapters in this module
- Defining PII in structured data systems
- Scope boundaries for privacy extensions
- Mapping ISO 27701 to data lifecycle stages
- Privacy vs data protection distinctions
- Role of data engineers in compliance
- Compliance impact of schema design
- Anonymisation requirements in ISO 27701
- Data retention rule alignment
- Cross-border transfer implications
- Logging PII access at scale
- Vendor processing under ISO 27701
- Audit trail requirements for engineers
Module 2. Data flow mapping for compliance
Learn how to document data flows in a way that satisfies ISO 27701 auditors and informs engineering design.
12 chapters in this module
- Identifying PII touchpoints in pipelines
- System boundary definition techniques
- Automating flow diagrams from logs
- Classifying processing purposes
- Documenting subprocessor roles
- Versioning data flow records
- Integrating flow maps into CI/CD
- Using Databricks metadata for mapping
- Flow validation with engineering teams
- Handling real-time stream exceptions
- Updating maps after schema changes
- Audit-ready flow documentation
Module 3. PII control design in data systems
Design technical controls that meet ISO 27701 requirements while maintaining system performance.
12 chapters in this module
- Attribute-level access controls
- Encryption key management strategy
- Masking rules by data tier
- Tokenisation implementation patterns
- Access logging for compliance
- Dynamic data masking layers
- Role-based filtering in queries
- PII detection in unstructured fields
- Data minimisation enforcement
- Purpose limitation in storage
- Retention tagging automation
- Cross-system consistency checks
Module 4. Privacy by design in data architecture
Embed privacy requirements into data model choices, schema evolution, and platform decisions.
12 chapters in this module
- Schema design for data minimisation
- Default privacy settings in tables
- PII inventory linkage to metadata
- Automated classification triggers
- Privacy impact at ingestion layer
- Secure joins across data sets
- Anonymisation in aggregated views
- Query engine privacy safeguards
- Storage tier alignment with sensitivity
- Backfilling privacy controls
- Schema change compliance gates
- Versioned privacy configuration
Module 5. Cross-functional alignment on privacy
Navigate collaboration with legal, security, and product teams using shared artefacts and decision records.
12 chapters in this module
- Translating legal requirements into tech specs
- Aligning on data classification levels
- Documenting engineering trade-offs
- Escalation paths for disagreements
- Shared review of control evidence
- Synchronising with security audits
- Product team privacy onboarding
- Standard responses for common queries
- Building trust with compliance
- Handling urgent legal requests
- Maintaining consistency across teams
- Feedback loops for control updates
Module 6. Compliance evidence generation
Produce audit-ready documentation that reflects actual system behaviour and engineering effort.
12 chapters in this module
- Automating control evidence from code
- Generating compliance narrative from logs
- Documenting exceptions and waivers
- Version-controlled policy statements
- Test cases for privacy controls
- Sampling strategies for audits
- Linking code to control requirements
- Evidence packaging for external reviewers
- Maintaining evidence over time
- Cross-system consistency reporting
- Handling auditor follow-ups
- Updating evidence after changes
Module 7. Privacy control testing and validation
Implement automated and manual validation techniques to verify privacy controls in production.
12 chapters in this module
- Test coverage for PII access
- Penetration testing scope
- Red team scenarios for data leaks
- Automated anomaly detection
- False positive tuning
- Logging accuracy validation
- Control effectiveness metrics
- Privacy test harness design
- Integration with CI pipelines
- Remediation workflows
- Post-incident validation
- Third-party validation prep
Module 8. Vendor data processing oversight
Ensure third-party data processors meet ISO 27701 requirements through technical and contractual controls.
12 chapters in this module
- Assessing vendor privacy maturity
- Technical audit rights negotiation
- Data processing agreement clauses
- Logging access from external systems
- Secure API design for vendors
- Monitoring third-party data flows
- Subprocessor tracking
- Breach notification procedures
- Contractual compliance verification
- Onboarding validation checklist
- Offboarding data deletion
- Ongoing vendor reviews
Module 9. Incident response and breach readiness
Prepare engineering systems and response playbooks for privacy-related incidents.
12 chapters in this module
- PII exposure detection logic
- Automated alerting on suspicious access
- Data leak containment procedures
- Forensic data preservation
- Legal hold workflows
- Cross-team incident coordination
- Breach notification timelines
- Regulator communication protocol
- Post-mortem compliance review
- System improvements after incidents
- Documentation for regulators
- Lessons into preventive controls
Module 10. Privacy-aware data lifecycle management
Enforce privacy requirements across data creation, retention, archival, and deletion.
12 chapters in this module
- Automated data classification
- Retention rule enforcement
- Archival with access controls
- Deletion verification workflows
- Cross-system deletion sync
- Legal hold preservation
- Data subject request handling
- Right to be forgotten implementation
- Audit trail preservation
- Data portability compliance
- Schema evolution with privacy
- Backfilling new controls
Module 11. Scaling privacy decisions across teams
Create reusable frameworks and playbooks that maintain consistency as teams grow.
12 chapters in this module
- Standardising privacy configurations
- Templated control implementations
- Internal consulting model
- Playbook versioning
- Cross-team training materials
- Centralised decision logs
- Privacy champions network
- Automated compliance checks
- Feedback collection mechanism
- Updating standards over time
- Adapting to new regulations
- Scaling documentation access
Module 12. Continuous improvement of privacy posture
Implement feedback loops and metrics to strengthen privacy engineering over time.
12 chapters in this module
- Privacy debt tracking
- Control effectiveness review
- Audit finding trend analysis
- Benchmarking against peers
- Engineering efficiency metrics
- Compliance automation roadmap
- Privacy tech stack evolution
- Lessons from incident reviews
- Updating training materials
- Staying current with regulation
- Sharing best practices
- Measuring organisational trust
How this maps to your situation
- After a new privacy regulation impacts data systems
- Before an external audit cycle begins
- When launching a new data product with PII
- During cross-functional initiative requiring data sharing
Before vs. after
Before
Reactive participation in privacy discussions, relying on others to define compliance requirements
After
Proactive leadership on privacy engineering, setting the standard for how data systems meet ISO 27701
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, with self-paced access and immediate download of key resources upon enrolment.
If nothing changes
Without deliberate skill-building, engineers risk being bypassed in strategic privacy conversations, leading to misaligned implementations and rework.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to data engineers in high-scale environments, focusing on implementable controls rather than theoretical frameworks.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does the course cover ISO 27701 only?
Yes, with deep technical focus on implementation within data engineering contexts.
Can I apply this in non-ISO regulated companies?
Yes, principles map to GDPR, CCPA, and other privacy regimes through structured implementation.
$199 one-time. Approximately 3 hours per module, with self-paced access and immediate download of key resources upon enrolment..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours