A tailored course, built for your situation
Mastering ISO 27001 for Data Engineers in Regulated Environments
Build unshakable command of the ISO 27001 control framework from the ground up, tailored for data practitioners leading compliance-critical projects.
$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 much time translating between engineers and compliance teams?
The situation this course is for
Compliance efforts often stall when technical teams and auditors speak different languages. Control mappings get outsourced to non-technical staff, creating delays, misinterpretations, and brittle documentation that breaks during review cycles.
Who this is for
Senior data engineers in mid-to-large tech companies who are informally leading or deeply embedded in ISO 27001 implementation, audit prep, or control maintenance , especially those tired of reactive, documentation-first approaches.
Who this is not for
This is not for compliance officers, auditors, or project managers who don’t touch data pipelines. It’s built for engineers who own implementation.
What you walk away with
- Map ISO 27001 controls to active data systems with confidence
- Produce evidence packages that pass internal and external review the first time
- Anticipate auditor questions and prepare responses in advance
- Design compliant data workflows without sacrificing engineering velocity
- Lead cross-functional alignment between platform, security, and compliance teams
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 27001 Scope and Relevance for Data Systems
Learn how ISO 27001 applies specifically to data infrastructure, pipelines, and storage layers. Define scope boundaries that reflect real system ownership and avoid overreach or gaps.
12 chapters in this module
- What ISO 27001 actually governs in data environments
- Distinguishing data roles: owner vs processor vs custodian
- Mapping logical data flows to certification scope
- Common scope pitfalls in cloud-native architectures
- Defining 'information asset' in a data warehouse context
- Where PII meets data lineage in control mapping
- Avoiding scope creep from adjacent systems
- Boundary-setting for microservices and data domains
- Documenting data-specific scope justifications
- How auditors assess scope completeness
- Case example: Narrowing scope at a fintech scale-up
- Checklist: Scoping review for data engineers
Module 2. Control Selection and Justification for Data Workloads
Choose and justify controls that match actual risk in data systems, not generic templates. Align control decisions with existing architecture and operational maturity.
12 chapters in this module
- Prioritizing controls by data sensitivity and exposure
- Tailoring Annex A controls to data pipeline threats
- Risk-based exclusion: When you can omit a control
- Documenting rationale for technical stakeholders
- Common mistakes in data-related control selection
- How to justify automated controls over manual ones
- Proving control sufficiency in serverless environments
- Mapping encryption practices to control A.10.1
- Access logging and control A.12.4 compliance
- Data retention policies and audit trail obligations
- Handling control overlap across data layers
- Template: Control decision log for engineering leads
Module 3. Evidence Design for Automated Data Systems
Design evidence that proves compliance without slowing down development. Focus on automation, reproducibility, and auditor clarity.
12 chapters in this module
- What auditors actually look for in technical evidence
- Moving from screenshots to automated reports
- Version-controlled policy documentation
- Proving access controls in cloud data platforms
- Audit logs: What to capture, how to store
- Automating evidence collection with CI/CD
- Sampling strategies for large data sets
- Time-series data and retention compliance
- Data masking validation as evidence
- Logging control effectiveness over time
- Common evidence failures in data pipelines
- Checklist: Evidence readiness for data teams
Module 4. Control Implementation in Data Pipeline Architecture
Embed ISO 27001 controls directly into pipeline design. Make compliance part of the architecture, not an afterthought.
12 chapters in this module
- Designing pipelines with control boundaries
- Enforcing encryption in transit and at rest
- Role-based access control in data workflows
- Logging pipeline execution for audit
- Secure configuration management for ETL jobs
- Environment segregation and approval gates
- Change control for schema and pipeline updates
- Validating data integrity across transformations
- Automated testing for compliance logic
- Using infrastructure-as-code for control consistency
- Handling third-party data integrations
- Pattern: Compliant pipeline template
Module 5. Documentation That Engineers and Auditors Respect
Write documentation that serves both technical teams and auditors , clear, accurate, and grounded in actual system behavior.
12 chapters in this module
- Avoiding compliance jargon in engineering docs
- Writing control descriptions engineers can implement
- Linking architecture diagrams to control mappings
- Versioning documentation with code
- Using runbooks as compliance artifacts
- Documenting exceptions and compensating controls
- How to describe automation in audit language
- Proving control continuity across deploys
- Maintaining documentation without overhead
- Tools for collaborative doc review
- Common auditor questions about data docs
- Template: Runbook-style compliance documentation
Module 6. Cross-Functional Alignment on Control Ownership
Clarify who owns what across engineering, security, and compliance. Reduce friction and duplication by defining clear handoffs.
12 chapters in this module
- Mapping control ownership to team structures
- Resolving overlap between security and data teams
- Defining SLAs for evidence requests
- Collaborating on control testing schedules
- Handling conflicting priorities: speed vs compliance
- Building trust with compliance partners
- Escalation paths for unresolved control issues
- Using RACI matrices for data-specific controls
- Facilitating joint control reviews
- Negotiating control scope with external assessors
- Case study: Aligning three teams on a unified control
- Playbook: Cross-functional control meetings
Module 7. Auditor Engagement and Technical Clarity
Prepare for audits with confidence by speaking the auditor's language while defending technical decisions.
12 chapters in this module
- Understanding auditor objectives and methods
- Preparing for opening meetings and walkthroughs
- Responding to auditor findings without defensiveness
- Providing evidence in auditor-friendly formats
- Explaining technical design to non-technical reviewers
- Handling requests for system access
- Clarifying control scope during interviews
- Managing auditor questions about automation
- Dealing with scope expansion requests
- Closing findings efficiently
- Case example: Resolving a control gap in data retention
- Checklist: Pre-audit readiness for engineers
Module 8. Automated Compliance Monitoring for Data Systems
Set up continuous monitoring that proves ongoing compliance and reduces audit fatigue.
12 chapters in this module
- Defining metrics for control health
- Alerting on control violations in real time
- Automated compliance dashboards for leadership
- Tracking control drift across environments
- Using observability tools for compliance proof
- Integrating compliance checks into CI/CD
- Monitoring third-party data processors
- Logging and reporting on access anomalies
- Automated evidence generation on schedule
- Handling false positives in compliance alerts
- Scaling monitoring across data domains
- Template: Compliance monitoring playbook
Module 9. Incident Response and Control Resilience
Ensure controls hold during outages, breaches, or deployment failures. Plan for resilience, not just compliance.
12 chapters in this module
- Defining incident scope for compliance reporting
- Maintaining logging during outages
- Access control during emergency access
- Data integrity checks after system recovery
- Documenting incidents for auditor review
- Proving backup and restore compliance
- Testing incident response with control fidelity
- Handling data leakage disclosures
- Auditor expectations during incident periods
- Post-mortem reporting with control focus
- Case example: Pipeline failure and control continuity
- Checklist: Incident response for data compliance
Module 10. Vendor and Third-Party Data Control Management
Extend ISO 27001 expectations to partners and vendors handling your data. Ensure compliance doesn't stop at your perimeter.
12 chapters in this module
- Assessing third-party data processors
- Reviewing SOC 2 reports for data relevance
- Defining compliance responsibilities in contracts
- Monitoring third-party control effectiveness
- Handling data sharing and retention agreements
- Auditing vendor compliance claims
- Managing sub-processors in data flows
- Incident response coordination with vendors
- Termination and data return obligations
- Common gaps in third-party data compliance
- Case study: Onboarding a new data vendor
- Template: Third-party compliance assessment
Module 11. Sustaining Compliance Across Data Migrations
Maintain ISO 27001 compliance during major data platform changes, re-architectures, or cloud migrations.
12 chapters in this module
- Assessing migration impact on control scope
- Transferring evidence from legacy systems
- Proving continuity of control during cutover
- Validating access controls in new environments
- Audit logging in hybrid data environments
- Data classification during migration
- Updating documentation for new architectures
- Testing controls in parallel environments
- Managing compliance during phased rollouts
- Handling auditor questions about migration
- Case example: Migrating from on-prem to cloud warehouse
- Checklist: Compliance readiness for migration
Module 12. Building a Reusable Compliance Foundation
Turn one-time compliance work into a repeatable asset. Create playbooks and templates that compound value across projects.
12 chapters in this module
- Documenting lessons from first certification
- Creating reusable control templates
- Standardizing evidence collection workflows
- Building internal training for new engineers
- Maintaining a living compliance knowledge base
- Sharing best practices across teams
- Integrating compliance into onboarding
- Measuring compliance maturity over time
- Reducing audit prep time year over year
- Scaling compliance across new data products
- Case example: Reusing a control package for new region launch
- Template: Compliance foundation roadmap
How this maps to your situation
- Scoping a new data platform under ISO 27001
- Leading evidence collection for an upcoming audit
- Designing a compliant data pipeline from scratch
- Responding to auditor findings on control gaps
Before vs. after
Before
Compliance feels like a separate track , managed by others, documented in silos, and only engaged during audit season.
After
You lead control decisions with confidence, produce evidence efficiently, and shape systems where compliance is built in, not bolted on.
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 6, 8 hours of reading and implementation work spread over 4 weeks. Designed for engineers working full-time.
If nothing changes
Continuing with ad-hoc compliance approaches risks repeated auditor findings, last-minute scrambling, and erosion of trust between engineering and compliance teams , especially as data systems grow in complexity and scrutiny.
How this compares to the alternatives
Unlike generic ISO 27001 training, this course is built for data engineers , not auditors or compliance staff. It skips the high-level policy talk and dives into control implementation within pipelines, warehouses, and cloud platforms.
Frequently asked
Who is this course actually for?
It's for data engineers who are actively involved in or leading ISO 27001 implementation, audit prep, or control maintenance , especially those tired of reactive, documentation-first approaches.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass an audit?
Yes , by helping you design evidence and documentation that align with auditor expectations, while grounding controls in actual system behavior.
$199 one-time. Approximately 6, 8 hours of reading and implementation work spread over 4 weeks. Designed for engineers working full-time..
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