A tailored course, built for your situation
Mastering ISO 27018 for Cloud Data Engineers
Turn privacy compliance into a strategic asset with clear implementation paths and documented control patterns.
$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.
Compliance slows down deployments and caps contract value when treated as a checklist.
The situation this course is for
Data engineers waste cycles retrofitting controls post-design. Projects stall when privacy isn’t baked in from the start. Teams without documented mappings lose bids to firms that position compliance as engineering rigor.
Who this is for
Senior data engineer in a cloud-first environment, leading or influencing control implementation on data platforms used by regulated clients.
Who this is not for
Entry-level engineers without client-facing scope, compliance officers without technical implementation context, or those not involved in data architecture decisions.
What you walk away with
- Architect data workflows with ISO 27018 controls already mapped
- Lead internal alignment on privacy requirements without downstream rework
- Deliver client-ready compliance narratives that justify higher project fees
- Reduce time to sign-off by 50% using pre-built control templates
- Position yourself as the go-to engineer for regulated data engagements
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 27018 in Cloud Data Systems
Establish the foundation of privacy protection in cloud data environments, focusing on data processor obligations and real-world applicability to Snowflake-like platforms.
12 chapters in this module
- Understanding the scope of personally identifiable information in data pipelines
- Key differences between ISO 27001 and ISO 27018 for data engineers
- Role of cloud providers vs. data controllers in shared responsibility models
- How ISO 27018 applies to multi-tenant data warehouse deployments
- Data residency constraints and their impact on table design
- Client audit expectations for cloud-based PII processing
- Mapping compliance language to engineering artifacts
- Common misinterpretations of 'consent' in automated workflows
- Logging requirements for access to personal data fields
- Designing role-based access with privacy compliance in mind
- Handling data subject access requests in large-scale environments
- Integrating ISO 27018 awareness into sprint planning
Module 2. Data Discovery and Classification Strategies
Learn how to detect, tag, and track personal data across schemas using automated and manual methods.
12 chapters in this module
- Patterns for identifying PII in unstructured and semi-structured data
- Building classification rules based on data type and sensitivity
- Using metadata tagging to flag regulated data fields
- Automated discovery pipelines with alerting on new PII patterns
- Validating classification accuracy using sample queries
- Documenting data flow from ingestion to warehouse layers
- Handling false positives in auto-classification models
- Client-facing data maps for auditor review
- Versioning data classification rules across environments
- Integrating tagging with CI/CD pipelines
- Cross-schema consistency in labeling personal data
- Audit trail requirements for classification changes
Module 3. Access Control and Authentication Design
Implement secure identity and access management aligned with ISO 27018 control objectives.
12 chapters in this module
- Designing role hierarchies for segregated access to PII
- Implementing just-in-time access for support engineers
- Multi-factor authentication enforcement for admin roles
- Session timeout policies in long-running data jobs
- Logging access attempts to personal data tables
- Reviewing access grants with quarterly attestation workflows
- Dynamic masking strategies for non-production environments
- Attribute-based access control for fine-grained permissions
- Integrating identity providers with warehouse roles
- Handling access during incident investigations
- Account deprovisioning triggers based on HR systems
- Controlled access to export functions for PII datasets
Module 4. Encryption and Data Protection Controls
Apply encryption strategies at rest and in transit that satisfy ISO 27018 requirements.
12 chapters in this module
- Evaluating default encryption settings in cloud platforms
- Key management responsibilities in shared environments
- Client-side encryption for sensitive fields pre-ingestion
- Tokenization as an alternative to full encryption
- Data masking strategies for development datasets
- Securing data exports with password-protected archives
- Validating end-to-end encryption in pipeline integrations
- Key rotation policies for compliance documentation
- Access to decryption keys and separation of duties
- Auditing key usage for anomaly detection
- Storage layer encryption vs. column-level encryption
- Documenting crypto practices for auditor review
Module 5. Data Processing Agreements and Third-Party Risk
Understand engineering’s role in supporting data processing agreements and managing downstream risks.
12 chapters in this module
- How data architecture impacts DPA language on sub-processing
- Designing isolation between client workspaces in shared platforms
- Logging and monitoring for unauthorized cross-client access
- Vendor risk assessment inputs from engineering teams
- Documenting data flow to third-party tools like BI platforms
- Restricting client-side script execution in dashboards
- Validating compliance posture of integrated SaaS tools
- Data retention policies for external partners
- Security event sharing agreements with vendors
- Incident response coordination with external processors
- Audit rights clauses and engineering access readiness
- Technical evidence required for vendor certifications
Module 6. Incident Response for Data Engineers
Prepare technical workflows that align with privacy breach response requirements.
12 chapters in this module
- Detecting unauthorized access to personal data tables
- Automated alerting on bulk export patterns
- Initial containment steps for suspected PII exposure
- Preserving logs without tipping off attackers
- Chain of custody considerations for forensic data
- Coordinating with legal and compliance teams technically
- Scope determination using data lineage tools
- Estimating number of records impacted by query logs
- Exporting sanitized data for regulator submission
- Post-mortem documentation with technical root causes
- Improving detection based on past incidents
- Rehearsing technical response in sandbox environments
Module 7. Audit Preparation and Evidence Packaging
Generate auditor-ready artifacts from engineering systems efficiently.
12 chapters in this module
- Translating control objectives into technical evidence
- Automating evidence collection for access reviews
- Documenting design decisions with compliance context
- Preparing system diagrams for auditor walkthroughs
- Version control practices that support audit trails
- Query history retention aligned with compliance needs
- Compiling logs into standardized formats for review
- Redacting non-relevant data in evidence exports
- Using tags to filter evidence by control domain
- Validating completeness of evidence packages
- Preparing engineers for auditor interview questions
- Updating evidence baselines after system changes
Module 8. Privacy by Design in Data Pipelines
Embed privacy controls at the architecture level of ETL and analytics workflows.
12 chapters in this module
- Minimizing PII in staging layers through early filtering
- Designing transformations that obscure direct identifiers
- Applying differential privacy in aggregated reporting
- Validating data minimization in pipeline configurations
- Using synthetic data for testing compliance logic
- Enforcing schema changes through code review
- Automated checks for PII in new table proposals
- Alerting on pipeline steps that increase data sensitivity
- Documenting design choices with privacy justification
- Linking pipeline metadata to control mappings
- Versioning privacy controls with pipeline deployments
- Reviewing third-party pipeline components for compliance
Module 9. Data Retention and Deletion Workflows
Implement reliable data lifecycle management that meets ISO 27018 requirements.
12 chapters in this module
- Defining retention periods based on data classification
- Automating archival and deletion triggers by policy
- Validating deletion at all layers including backups
- Handling legal hold exceptions in deletion workflows
- Logging purge activities for audit verification
- Cross-region consistency in deletion schedules
- Client notification processes for data erasure
- Handling deletion in replicated environments
- Verifying irrecoverability after delete operations
- Managing metadata retention post-data erasure
- Aligning retention policies with client contracts
- Testing deletion workflows in pre-production
Module 10. Cross-Border Data Transfer Controls
Design systems that comply with jurisdictional data residency rules.
12 chapters in this module
- Mapping data flows to geographic hosting locations
- Client configuration options for region-specific storage
- Enforcing location constraints at table creation
- Logging cross-border access attempts for review
- Using replication only with documented legal basis
- Documentation requirements for transfer mechanisms
- Leveraging standard contractual clauses in architecture
- Client-facing controls for data locality selection
- Auditing configuration drift from geo-fencing rules
- Handling emergency failover across regions
- Vendor obligations related to cross-border processing
- Updating transfer maps after infrastructure changes
Module 11. Monitoring and Continuous Compliance
Build systems that maintain compliance posture over time.
12 chapters in this module
- Automated scanning for PII in new datasets
- Alerting on configuration changes to access controls
- Dashboards showing compliance status across workspaces
- Scheduled validation of encryption settings
- Automated evidence generation for recurring reviews
- Integrating compliance checks into deployment pipelines
- Drift detection between environments
- Baseline comparison for audit readiness
- Monitoring for unauthorized sharing of personal data
- User behavior analytics for anomalous access patterns
- Quarterly access review automation
- Reporting control effectiveness to leadership
Module 12. Scaling Privacy Engineering Across Teams
Develop reusable patterns and playbooks for consistent compliance.
12 chapters in this module
- Creating internal documentation hubs for privacy standards
- Developing onboarding materials for new engineers
- Standardizing control implementation across projects
- Building template repositories for compliant pipelines
- Peer review checklists for privacy compliance
- Integrating compliance gates into project lifecycles
- Mentoring junior engineers on privacy by design
- Sharing lessons from audits and client engagements
- Contributing to internal certification programs
- Metrics that show compliance efficiency gains
- Feedback loops from compliance teams to engineering
- Roadmap planning with privacy requirements in mind
How this maps to your situation
- Initial project scoping with compliance considerations
- Design and implementation of secure data architectures
- Audit preparation and client assurance cycles
- Post-incident review and system hardening
Before vs. after
Before
Compliance feels like an afterthought, slowing down delivery and limiting project scope.
After
Privacy controls are embedded in design, deliver faster, justify premium fees, lead client conversations.
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: 90 minutes per week over 12 weeks, or intensive 12-hour weekend deep-dive.
If nothing changes
Projects without embedded compliance require costly retrofits, lose competitive bids, and delay time to revenue.
How this compares to the alternatives
Generic compliance courses teach frameworks in isolation. This course teaches ISO 27018 through the lens of data engineering decisions, what to build, how to document, when to escalate.
Frequently asked
Is this course technical or policy-focused?
Technical. It's built for engineers who design and manage data systems, with code-level examples and architecture decisions.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this for client-facing compliance justification?
Yes. Modules include client-ready narrative templates, evidence packaging strategies, and audit alignment techniques.
$199 one-time. 90 minutes per week over 12 weeks, or intensive 12-hour weekend deep-dive..
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