A tailored course, built for your situation
Premium engagement picks with ISO 27017 framework fluency
A tailored 12-module course to position you for higher-margin, strategically aligned data security engagements using ISO 27017
Who this is for
Senior Data Engineer with deep SQL and DBT experience, operating in regulated environments where cloud data security standards are gaining strategic weight
Who this is not for
Engineers focused solely on raw pipeline throughput without governance or compliance exposure, or those not involved in client-facing or cross-functional design discussions
What you walk away with
- Consistently selected for engagements with defined ISO 27017 or cloud security control requirements
- Produce client-ready control documentation that reduces sales engineering overhead
- Position yourself as the internal reference for cloud security control mappings in data architecture
- Lead design discussions where security frameworks intersect with data modeling decisions
- Shape project scoping to include premium components tied to compliance-readiness
The 12 modules (with all 144 chapters)
- When ISO 27017 applies in cloud projects
- Cloud control boundaries for data teams
- Mapping shared responsibility model to data roles
- ISO 27017 vs SOC 2 and ISO 27001 scope
- Client expectation patterns in RFPs
- Common misalignments in early scoping
- How data engineers influence control scope
- Control ownership across cloud teams
- Baseline documentation expectations
- Reviewing control language in contracts
- Client readiness signals for ISO 27017
- Anticipating audit follow-ups
- Embedding control intent in DBT models
- Schema design for audit readiness
- Naming conventions for control tracking
- Tagging data assets by control domain
- Automated classification patterns
- Version control with control lineage
- Data provenance for compliance
- Secure pipeline handoffs
- Environment segregation patterns
- Access inheritance mapping
- Retention as control evidence
- Encryption cadence in staging
- Extracting control evidence from SQL comments
- Auto-generating SoA entries from DBT docs
- Mapping models to A.12.4 control
- Data pipeline as control narrative
- Automating audit trails with metadata
- Linking column-level descriptions to control
- Client-ready exports from DBT
- Versioned control assertions
- Change logs as compliance artifacts
- Data dictionary as control input
- Schema diffs as audit evidence
- Documenting immutability guarantees
- Reading RFPs for control relevance
- Positioning data work in SOWs
- Scoping for audit readiness
- Identifying leverage points in client needs
- Packaging pipeline work as control delivery
- Budgeting for control-aligned development
- Differentiating premium vs baseline builds
- Client education on data’s role in controls
- Linking data decisions to risk posture
- Aligning sprint goals to control milestones
- Defining acceptance criteria with auditors
- Handover packages for compliance teams
- Translating SQL logic to control terms
- Participating in control reviews
- Responding to control evidence requests
- Clarifying data team responsibilities
- Security team expectations on logging
- Providing evidence in standard formats
- Negotiating control scope with peers
- Escalating control conflicts early
- Documenting data-specific exceptions
- Contributing to internal audits
- Reviewing third-party auditor questions
- Finalizing control sign-off inputs
- A.12.1: Change control in DBT projects
- A.12.2: Capacity planning indicators
- A.12.3: Release management traceability
- A.12.4: Backup scope in data layers
- A.12.5: Event logging from pipelines
- A.12.6: Clock synchronization evidence
- A.13.1: Network access control mappings
- A.13.2: Segregation in data zones
- A.13.3: Encryption in transit artifacts
- A.13.4: Secure transfer in ETL
- A.13.5: Email security data flows
- A.13.6: Secure messaging in metadata
- A.9.1: Access policy alignment
- A.9.2: User provisioning data trails
- A.9.3: Access review automation
- A.9.4: Privileged access in pipelines
- A.9.5: Password policy in data tools
- A.9.6: Session control in BI layers
- A.9.7: User access removal proof
- A.9.8: Device access policy logs
- Role definitions in DBT models
- Attribute-based access patterns
- Schema-level access documentation
- Generating access attestation reports
- A.14.1: Secure coding standards for SQL
- A.14.2: Security in CI/CD pipelines
- A.14.3: Dev environment controls
- A.14.4: Change verification methods
- A.14.5: Secure system engineering
- A.14.6: Developer access control
- A.14.7: System maintenance logging
- A.14.8: Vendor code review procedures
- A.14.9: Security testing in pipelines
- A.14.10: Threat modeling for data flows
- A.14.11: Secure patching documentation
- A.14.12: Secure configuration templates
- A.10.1: Data retention policy mapping
- A.10.2: Secure disposal techniques
- A.10.3: Media reuse compliance
- A.10.4: Secure disposal automation
- A.10.5: Secure disposal logging
- A.10.6: Storage encryption key life cycle
- A.10.7: Data minimization patterns
- A.10.8: Archive access controls
- A.10.9: Retention period validation
- A.10.10: Legal hold procedures
- A.10.11: Data portability compliance
- A.10.12: Data retention reporting
- A.16.1: Incident response plan mapping
- A.16.2: Communication protocols
- A.16.3: Evidence preservation
- A.16.4: Logging for root cause
- A.16.5: Chain of custody procedures
- A.16.6: Forensic data readiness
- A.16.7: Cross-team escalation paths
- A.16.8: Post-mortem automation
- A.16.9: Lessons learned tracking
- A.16.10: Communication templates
- A.16.11: Response drill data sets
- A.16.12: Audit trail completeness
- A.15.1: Third-party policy alignment
- A.15.2: Vendor due diligence data
- A.15.3: Contractual security clauses
- A.15.4: Vendor monitoring evidence
- A.15.5: Vendor audit rights
- A.15.6: Sub-processor oversight
- A.15.7: Supply chain risk in data
- A.15.8: Data flow transparency
- A.15.9: Right to audit fulfillment
- A.15.10: Vendor breach response
- A.15.11: Vendor exit procedures
- A.15.12: Vendor attestation tracking
- Identifying high-leverage projects
- Volunteering for control-critical phases
- Claiming ownership of compliance artifacts
- Presenting work in framework terms
- Internal reputation building
- Mentoring junior engineers
- Documenting repeatable processes
- Creating internal reference materials
- Leading cross-functional workshops
- Proposing framework improvements
- Tracking engagement impact
- Building a portfolio of client outcomes
How this maps to your situation
- When scoping a regulated data project
- During client security review cycles
- After a control gap is identified
- Before audit evidence submission
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 90 minutes per module, designed to fit around active project cycles.
How this compares to the alternatives
Generic compliance courses teach frameworks in isolation. This course teaches ISO 27017 through the lens of data engineering decisions, so you gain positioning, not just knowledge.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.