A tailored course, built for your situation
Sources and specific examples on hand when peers push back on ISO 27701 alignment
Walk through the why with confidence, backed by clear reasoning and real-world precedents
The situation this course is for
Even strong designs stall when challenged in review cycles without ready sources to back them. Practitioners lose influence when they can't walk through the reasoning behind controls live.
Who this is for
Senior data engineer operating in high-visibility privacy and compliance environments
Who this is not for
Those looking for introductory privacy frameworks or generic compliance overviews
What you walk away with
- Cite exact ISO 27701 clauses that support each control decision
- Reference real implementations from peer-reviewed audits
- Map data flows to privacy-by-design principles with sourced justification
- Respond in real time to architectural challenges with specific examples
- Build repeatable, source-backed narratives for data governance reviews
The 12 modules (with all 144 chapters)
- Data privacy vs information security scope
- Key additions in ISO 27701 over ISO 27001
- Privacy by design in system architecture
- Mapping data flows to PII handling clauses
- Role of data engineers in compliance
- How regulators reference the standard
- Common misconceptions about applicability
- Integration with engineering review gates
- Control 8 2 2 on data minimization
- Control 8 3 4 on consent mechanisms
- Control 9 1 2 on data subject rights
- Control 10 2 on breach response planning
- Clause 8 2 1 documented processes
- Clause 8 2 2 data minimization patterns
- Clause 8 3 1 consent design examples
- Clause 8 3 4 consent withdrawal flows
- Clause 9 1 2 access request pipelines
- Clause 9 2 1 erasure workflows
- Clause 9 3 1 data portability outputs
- Clause 10 1 breach detection logic
- Clause 10 2 response timelines
- Clause 10 3 notification templates
- Clause 11 1 cross-border transfer logs
- Clause 11 2 subprocessor controls
- Audit finding 12 4 1 on logging
- How team resolved consent audit gap
- Evidence package for clause 9 2
- Data map submission example
- Processor agreement excerpt
- Breach simulation documentation
- DPIA integration into sprint cycle
- Privacy notice version history
- Data retention rule justification
- Deletion confirmation workflow
- PIA scoring methodology
- Third-party assessment alignment
- Identifying PII in raw ingestion
- Tagging schema fields by sensitivity
- Masking logic in PySpark jobs
- Access control at column level
- Audit logging in BigQuery
- Data lineage tools for compliance
- Retention tagging in Snowflake
- Pseudonymization in Kafka streams
- Encryption at rest configuration
- Tokenization in payment pipelines
- Anonymization thresholds for sharing
- Differential privacy in aggregation
- Maintaining a control ledger
- Versioning design decisions
- Linking Jira tickets to clauses
- Storing rationale in Confluence
- Automating evidence collection
- Creating audit-ready dashboards
- Preparing for internal review
- Responding to cross-functional Qs
- Integrating with risk registers
- Using tags in data catalogs
- Logging access to sensitive tables
- Documenting exceptions safely
- Handling the 'overkill' objection
- Answering legal team on DPIA scope
- Justifying engineering effort spent
- Explaining thresholds to product
- Aligning with security roadmap
- Deflecting pressure to skip steps
- Responding to audit findings
- Negotiating timelines with legal
- Clarifying roles with DP team
- Escalating resourcing needs
- Documenting trade-off decisions
- Using precedent to close debates
- Checklist for new data stores
- RFC template with privacy section
- Design review scoring rubric
- Involving legal in early phases
- PIA trigger thresholds
- Data classification guide
- Onboarding subprocessors
- Reviewing vendor SOC 2 reports
- Managing subprocessor contracts
- Tracking DPAs across regions
- Handling cloud region changes
- Updating records of processing
- Speaking product's language
- Translating risk to cost
- Aligning timelines with legal
- Using data to justify privacy
- Leading cross-team workshops
- Presenting to leadership
- Creating shared dashboards
- Running tabletop exercises
- Facilitating joint trainings
- Coordinating incident drills
- Driving standardization efforts
- Influencing roadmap priorities
- Assessing migration impact
- Updating data flow diagrams
- Re-mapping controls to new layers
- Revising logging schemes
- Revalidating access controls
- Re-documenting subprocessors
- Updating DPAs for new vendors
- Re-running DPIAs for new uses
- Preserving historical evidence
- Migrating audit logs
- Reconciling retention policies
- Versioning control mappings
- Logging PII access automatically
- Tagging data in metadata layers
- Generating data maps from logs
- Exporting consent records
- Automating deletion requests
- Tracking data subject responses
- Alerting on policy violations
- Scanning for schema drift
- Validating encryption settings
- Monitoring retention rules
- Reporting on deletion success
- Auditing cross-border transfers
- Common questions from regulators
- Preparing response templates
- Gathering evidence packets
- Coordinating legal and engineering
- Documenting data flows clearly
- Justifying retention periods
- Explaining anonymization limits
- Clarifying subprocessor oversight
- Demonstrating breach readiness
- Showing past incident responses
- Proving consent mechanisms
- Verifying subject access flows
- Creating internal playbooks
- Training new hires
- Standardizing documentation
- Sharing control mappings
- Running compliance sprints
- Embedding in CI CD pipelines
- Integrating with data mesh
- Scaling across regions
- Managing chapter leads
- Running peer reviews
- Auditing compliance coverage
- Updating for regulatory changes
How this maps to your situation
- When a new data pipeline is proposed
- During internal audit preparation
- When responding to legal queries
- Before a system migration or rewrite
Before vs. after
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, 4 hours per module, with self-paced access and lifetime updates.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on how to defend data engineering design choices using ISO 27701 with real implementation proof points and audit-tested reasoning.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.