A tailored course, built for your situation
Mastering ISO 27018 for Software Engineers in Cloud Data Platforms
Build privacy-by-design implementations faster with a structured path from policy to working code
$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.
Spending too long translating privacy controls into working systems?
The situation this course is for
Privacy isn't optional, but it shouldn't slow you down. Most engineers waste cycles interpreting ISO 27018 manually, reinventing templates, or waiting on compliance reviews that send work back. The cost isn't just time, it's lost momentum on core projects.
Who this is for
Senior software engineer in a cloud data platform company who owns or contributes to systems handling personal data and must comply with privacy frameworks
Who this is not for
Entry-level developers still learning core languages, product managers without technical implementation responsibility, or compliance officers who don't write code or configure systems
What you walk away with
- Produce ISO 27018-aligned system designs in under two days
- Implement data protection controls without waiting for compliance feedback loops
- Ship auditable privacy features with pre-validated templates
- Reduce rework by aligning implementation with auditor expectations upfront
- Move from policy document to working code in a single sprint
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 27018 in Software Engineering Context
Understand how ISO 27018 applies specifically to cloud data platforms and why implementation speed separates practitioners. Learn the core principles of privacy by design and how they integrate into development workflows.
12 chapters in this module
- Mapping ISO 27018 scope to cloud-based data handling
- Key differences between ISO 27001 and ISO 27018 controls
- Privacy by design vs. privacy as an afterthought
- How cloud architecture changes privacy implementation
- Common misconceptions about personal data in data warehouses
- Why engineers are now first-line implementers of privacy
- Integrating privacy into agile development cycles
- Real-world examples of ISO 27018 violations in cloud systems
- The role of encryption, access logs, and audit trails
- How regulators view technical implementation of privacy
- Balancing performance and compliance in large-scale systems
- Setting expectations for speed and accuracy in implementation
Module 2. Clause 5: Cloud Provider Obligations and Engineering Implications
Break down Clause 5 of ISO 27018 and map each requirement directly to code, configuration, and deployment practices engineers control.
12 chapters in this module
- Understanding 'personal data processor' in cloud environments
- Translating data processing agreements into technical specs
- Defining data boundaries in multi-tenant architectures
- Logging obligations for data access and modification
- Access control requirements for personal data workloads
- How clause 5 impacts schema design and metadata tagging
- Implementing purpose limitation at query execution level
- Enforcing data minimization in ETL pipelines
- Auditing provider commitments in infrastructure as code
- Configuring notifications for data access events
- Mapping clause 5 to API access patterns
- Validating compliance of third-party integrations
Module 3. Clause 6: Consent and Purpose Limitation in System Design
Design systems that enforce consent and purpose limitations automatically, reducing manual oversight and downstream risk.
12 chapters in this module
- Modeling consent states in database schemas
- Tagging data by purpose at ingestion time
- Automated enforcement of permitted use cases
- Consent expiration and data lifecycle triggers
- Query restriction mechanisms based on consent scope
- User-facing data access controls in application layers
- Implementing audit trails for consent changes
- Handling opt-out requests across distributed systems
- Designing for data portability and erasure
- Validating purpose alignment in data sharing workflows
- Logging user consent modifications in immutable ledgers
- Mapping consent to role-based access controls
Module 4. Clause 7: Data Subject Rights Enforcement in Code
Build systems that support data subject rights , access, correction, deletion , as first-class features, not afterthought workflows.
12 chapters in this module
- Designing for right to access in large-scale datasets
- Implementing data subject identification across schemas
- Automated data discovery for deletion requests
- Soft delete vs hard delete implementation patterns
- Validation of data erasure across backups and caches
- Providing data portability in standard formats
- Handling rectification requests in immutable logs
- Time-bound responses to data subject requests
- Logging fulfillment of data subject rights
- Testing deletion workflows without production impact
- Rate-limiting and fraud detection for request abuse
- Integrating DSR workflows into developer tooling
Module 5. Clause 8: Security of Personally Identifiable Information
Apply encryption, access control, and monitoring practices that meet ISO 27018 security expectations in production systems.
12 chapters in this module
- Data-at-rest encryption strategies for warehouses
- Key management for customer-owned encryption
- Role-based access control for PII datasets
- Multi-factor authentication for admin access
- Session timeouts and access revocation
- Network segmentation for personal data clusters
- Real-time monitoring for suspicious access
- Automated alerts for unauthorized queries
- Audit logging for compliance and forensic use
- Secure API gateways for PII access
- Zero-trust patterns in data platform security
- Integrating security into CI/CD pipelines
Module 6. Clause 9: Data Breach Notification and System Readiness
Prepare systems to detect, log, and support reporting of personal data incidents quickly and accurately.
12 chapters in this module
- Defining reportable breaches in technical terms
- Automated detection of PII exfiltration attempts
- Logging breach-related events in structured format
- Configuring escalation paths in monitoring tools
- Designing for rapid forensic data collection
- Retention policies for incident investigation
- Notification templates aligned with legal requirements
- Time-to-report compliance in system design
- Testing breach detection with red team simulations
- Integrating with SOC teams and incident response
- Logging actions taken during incident containment
- Post-mortem documentation automation
Module 7. Clause 10: Sub-Processing and Vendor Accountability
Ensure third-party services and internal teams comply with ISO 27018 when handling data on your platform.
12 chapters in this module
- Defining sub-processors in data pipeline contracts
- Auditing third-party access to personal data
- Enforcing compliance in data sharing agreements
- Logging vendor interactions with PII
- Configuration controls for external access
- Automated revocation of vendor access
- Tracking data flows across organizational boundaries
- Documenting transfers in system diagrams
- Validating encryption in transit for sub-processors
- Building compliance checks into API onboarding
- Managing legacy systems as sub-processors
- Reporting sub-processor activity to compliance teams
Module 8. Clause 11: Cross-Border Data Transfers and Residency
Implement data residency and transfer controls that satisfy global regulatory expectations.
12 chapters in this module
- Mapping data flows across geographic regions
- Enforcing data residency at ingestion layer
- Tagging datasets by geographic origin
- Automated blocking of non-compliant transfers
- Legal mechanisms for cross-border flows
- Logging data transfer decisions
- User consent for international transfers
- Designing for data localization laws
- Replicating data with residency constraints
- Testing transfer rules in staging environments
- Handling jurisdiction-specific retention rules
- Auditing data movement across regions
Module 9. Clause 12: Data Retention and Disposal Automation
Build automatic data disposal workflows that align with documented retention policies.
12 chapters in this module
- Defining retention periods by data class
- Tagging data with expiration metadata
- Automated deletion scheduling
- Verification of disposal across systems
- Logging disposal actions for audit
- Handling legal holds in deletion workflows
- Archiving vs permanent disposal
- Testing disposal at scale
- Monitoring retention policy compliance
- User notification before data deletion
- Disposal in backup and snapshot systems
- Recovery workflows for accidental deletion
Module 10. Clause 13: Independent Compliance Verification and Audit Readiness
Design systems so audit evidence is continuously available, reducing last-minute scrambling.
12 chapters in this module
- Generating documentation from infrastructure as code
- Automated evidence collection for ISO 27018
- Audit trail completeness and integrity
- Preparing logs for external review
- Configuring read-only access for auditors
- Standardizing log formats across services
- Proving implementation of specific controls
- Time-stamped configuration snapshots
- Integrating with GRC platforms
- Versioning compliance artifacts
- Demonstrating continuous compliance
- Responding to auditor requests in hours
Module 11. Clause 14: Contractual and Organizational Controls
Integrate compliance into development culture and team workflows.
12 chapters in this module
- Role definitions for data protection in engineering
- Training developers on ISO 27018 requirements
- Documenting policies in accessible formats
- Enforcing compliance in pull request reviews
- Building compliance checks into CI/CD
- Escalation paths for policy questions
- Maintaining compliance documentation
- Updating controls with framework changes
- Cross-team alignment on privacy practices
- Security champion programs in engineering
- Incident response planning for engineers
- Measuring compliance maturity in teams
Module 12. Accelerating Implementation with Templates and Playbooks
Use pre-built, customizable templates and workflows to cut implementation time from weeks to days.
12 chapters in this module
- Reusing proven control implementations across projects
- Templating infrastructure for ISO 27018 compliance
- Customizing playbooks for team context
- Integrating templates into developer onboarding
- Versioning and updating implementation guides
- Sharing best practices across teams
- Reducing review cycles with standardized code
- Automating compliance checks in pipelines
- Generating documentation from code comments
- Adapting templates for new cloud regions
- Validating templates against audit findings
- Contributing improvements to shared library
How this maps to your situation
- Privacy controls implementation in cloud platforms
- Data residency and cross-border data flows
- Automating data subject rights fulfillment
- Audit-ready system design for ISO 27018
Before vs. after
Before
Interpreting ISO 27018 manually, reinventing controls, waiting on compliance feedback, rework loops, slow deployment cycles
After
Implementing privacy controls systematically, shipping auditable code quickly, reducing cross-team dependencies, moving faster from policy to production
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 90 minutes per week over 12 weeks, or accelerate at your own pace.
If nothing changes
Continuing to treat privacy as a compliance handoff delays core projects, increases rework risk, and positions you as a bottleneck rather than an enabler.
How this compares to the alternatives
Most privacy courses focus on policy or theory. This course is built specifically for engineers who must implement controls in production systems. Unlike generic compliance training, it delivers working code patterns, audit-ready templates, and deployment workflows tailored to cloud data platforms.
Frequently asked
Is this course only for Snowflake engineers?
No. It's designed for software engineers in cloud data platforms who implement privacy controls, regardless of employer.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need prior compliance experience?
No. The course assumes technical expertise in software engineering and guides you step-by-step through implementation.
$199 one-time. Approximately 90 minutes per week over 12 weeks, or accelerate at your own pace..
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