A tailored course, built for your situation
Influence Across More Business Units with ISO 27001
Turn data engineering excellence into cross-functional impact
The situation this course is for
Data engineers ship pipelines that touch security, compliance, and operations, but without shared frameworks, their work stays invisible to risk and governance teams. This limits visibility, slows escalations, and under-represents technical contributions in enterprise conversations.
Who this is for
Senior data engineer at a global systems integrator, certified in cloud data platforms, working on deployments that intersect security and compliance
Who this is not for
Entry-level analysts or engineers who do not contribute to risk-facing deliverables
What you walk away with
- Identify high-leverage ISO 27001 controls that apply directly to data architecture
- Articulate engineering work in terms that resonate with compliance and security teams
- Lead cross-functional control implementation without waiting for governance to 'translate'
- Position data pipelines as foundational to enterprise risk posture
- Become the go-to engineer when ISO 27001 audits touch data systems
The 12 modules (with all 144 chapters)
- Scope of ISO 27001 for data systems
- Mapping pipelines to information security boundaries
- Control domains that touch data layers
- How audits follow data flows
- Common misalignments in cloud data projects
- Documenting data systems for auditor clarity
- Control ownership across teams
- When ISO 27001 overlaps with SOC 2
- Data classification and ISO 27001 A.8
- Encryption controls in transit and at rest
- Access logging in compliance context
- Version control and change management
- Embedding control design in CI/CD
- Automated policy checks in pipeline code
- Tagging data for classification enforcement
- Secrets management in orchestrated jobs
- Role-based access in data environments
- Audit trail generation at source
- Immutable logs from data services
- Retention policies aligned with controls
- Pipeline monitoring as control evidence
- Fail-safes for control validation
- Reconciliation with identity providers
- Control assertions in deployment docs
- Defining data sensitivity tiers
- Schema-level classification tagging
- Mapping fields to ISO 27001 A.8 controls
- PII detection in semi-structured data
- Classification in streaming pipelines
- Metadata enrichment for compliance
- Dynamic masking rules by classification
- Retention schedules by data class
- Encryption key strategies by tier
- Cross-border data flow flags
- Consent tracking integration
- Data lineage for classification audit
- Role design for data environments
- Segregation of duties in pipeline jobs
- Provisioning workflows for analysts
- Just-in-time access patterns
- Access reviews with compliance cadence
- Entitlement reporting for auditors
- Emergency access controls
- Access revocation automation
- Third-party access governance
- Federated identity integration
- Attribute-based access rules
- Access logging for forensic readiness
- Secure coding standards for pipeline code
- Code review checklists for compliance
- Dependency scanning in data tools
- Secrets detection in version control
- Build pipeline hardening
- Container security in orchestration
- Infrastructure as code linting
- Vulnerability management for connectors
- Patch compliance in data services
- Change advisory board workflows
- Rollback strategies with control integrity
- Versioning for audit trail completeness
- Encryption scope by data classification
- At-rest encryption in data lakes
- In-transit encryption for pipeline links
- Key management architecture
- KMS integration patterns
- Customer-managed keys
- Key rotation automation
- Key access logging
- Key backup and recovery
- Key lifecycle monitoring
- Multi-region key strategies
- Key usage auditing
- Incident scenarios for data systems
- Detection rules in pipeline monitoring
- Containment playbooks for data jobs
- Evidence collection from logs
- Data isolation during response
- Forensic data preservation
- Notification workflows for data breaches
- Root cause analysis templates
- Post-mortem for compliance reporting
- Incident simulation drills
- Coordination with central SOC
- Lessons learned integration
- RPO and RTO for data pipelines
- Replication strategies for critical data
- Failover testing for orchestration
- Backup frequency by data class
- Data consistency in recovery
- Disaster recovery runbooks
- Recovery validation checks
- Third-party dependency risks
- Monitoring for continuity gaps
- Capacity planning under load
- Cross-region pipeline deployment
- Documentation for recovery testing
- Vendor risk assessment for data tools
- Due diligence for API connectors
- Contractual clauses for data vendors
- Audit rights for third-party systems
- Subprocessor transparency
- Security certification validation
- Data processing agreements
- Onboarding security reviews
- Ongoing monitoring for vendors
- Incident response coordination
- Exit strategy and data portability
- Vendor offboarding controls
- Control documentation templates
- Narratives that link code to controls
- Evidence collection workflows
- Automated evidence generation
- Data flow diagrams for auditors
- Control mapping spreadsheets
- Audit trail completeness checks
- Evidence retention policies
- Sampling strategies for testing
- Remediation tracking
- Management assertions for data systems
- Pre-audit walkthrough preparation
- Stakeholder identification
- Control ownership models
- RACI for data controls
- Cross-team working sessions
- Control implementation handoffs
- Status reporting for governance
- Conflict resolution patterns
- Escalation pathways
- Shared vocabulary building
- Joint testing with compliance
- Feedback loops from auditors
- Lessons sharing across projects
- Compliance automation strategy
- Template-based pipeline onboarding
- Control library for reuse
- Training for new team members
- Maturity assessment for data teams
- Metrics for control effectiveness
- Continuous improvement cycles
- Feedback from audit outcomes
- Benchmarking against peers
- Versioning compliance patterns
- Knowledge transfer frameworks
- Leadership reporting for compliance
How this maps to your situation
- When onboarding a new data pipeline into regulated environment
- Before audit season with ISO 27001 focus
- During cloud migration with compliance constraints
- After security incident involving data systems
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 hours per module, with flexible pacing. Most practitioners complete in 6-8 weeks while working full-time.
How this compares to the alternatives
Public ISO 27001 courses focus on documentation and policy without technical depth. Internal training often lacks pipeline-specific examples. This course bridges the gap with real-world implementation patterns for data engineers.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.