A tailored course, built for your situation
Mastering ISO 27017 for Senior Data Engineers in Regulated Industries
Build cloud security expertise that positions you as the internal reference on compliant data architectures
$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.
Engineers with security-aware data architecture skills are quietly becoming the most relied-upon advisors in regulated tech environments.
The situation this course is for
Even strong data teams struggle to connect cloud data patterns with compliance expectations. That gap creates rework, delays audits, and inflates cloud risk. Practitioners who can bridge it become indispensable.
Who this is for
Senior Data Engineer in regulated sector (fintech, healthcare, cloud infrastructure) with 5+ years of experience, working in Snowflake, dbt, and Apache ecosystems, often pulled into cross-functional reviews without formal security training.
Who this is not for
Engineers focused only on pipeline velocity or those not involved in cross-functional design reviews or cloud security discussions.
What you walk away with
- Recognized as the go-to person for ISO 27017 compliance in cloud data architecture
- Produce implementation-ready security mappings for Snowflake and dbt environments
- Confidently lead design discussions that balance performance, governance, and compliance
- Anticipate audit findings before they arise by embedding controls in data models
- Increase influence across security, compliance, and engineering teams through shared frameworks
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 27017 and Its Relevance to Cloud Data Platforms
Lay the foundation for cloud-specific security controls and how they intersect with data engineering workflows.
12 chapters in this module
- What ISO 27017 standardizes in cloud environments
- Key differences from general-purpose ISO 27001 controls
- How cloud service models affect control ownership
- Mapping ISO 27017 to AWS, GCP, and Azure shared responsibility
- Why data engineers now own part of the security boundary
- How compliance expectations are shifting for data pipelines
- Common misinterpretations of control scope in data teams
- Integrating security standards into data platform roadmaps
- The role of encryption in transit and at rest under ISO 27017
- Tokenization and masking as compliance enablers
- Designing audit trails that satisfy control documentation
- Linking data lineage to security control evidence
Module 2. Data Engineering Patterns in Compliant Cloud Architectures
Explore how real data workflows align with ISO 27017 control objectives.
12 chapters in this module
- Security considerations in Snowflake data sharing setups
- Securing dbt model transformations in shared environments
- Credential management for automated data pipelines
- Controlled access to staging layers in multi-tenant systems
- Enforcing least privilege in data warehouse roles
- Logging and monitoring for unauthorized data access
- Version control as a compliance enabler for data code
- Auditing access to sensitive datasets in virtual warehouses
- Managing tags and metadata in regulated contexts
- Secure cross-cloud data replication patterns
- Handling PII in transformation layers
- Designing immutable logs for compliance tracing
Module 3. Implementing ISO 27017 Control Clauses in Data Workflows
Translate specific control requirements into operational data engineering tasks.
12 chapters in this module
- Applying clause 8.2 on cryptographic key management
- Ensuring clause 10.1 on secure data deletion
- Meeting clause 9.3 on access control enforcement
- Documenting clause 12.2 on data leakage prevention
- Configuring clause 13.4 on monitoring virtual private clouds
- Aligning clause 14.2 with data backup encryption
- Testing clause 15.1 on incident response readiness
- Validating clause 16.1 on security awareness training
- Integrating clause 17.1 into vendor risk assessments
- Mapping clause 18.1 to data retention policies
- Applying clause 19.1 to change management in data models
- Enforcing clause 20.1 on audit logging completeness
Module 4. Building Security-Aware Data Models
Design dbt models and transformations with compliance baked in from the start.
12 chapters in this module
- Structuring models with role-based access in mind
- Tagging sensitive fields for automated policy checks
- Including data classification in transformation logic
- Adding metadata assertions for audit readiness
- Versioning models to support change tracking
- Creating reusable security macros in dbt
- Embedding encryption checks in model builds
- Generating compliance documentation from code comments
- Using tests to validate security policies at run time
- Alerting on unauthorized access patterns
- Documenting model ownership and stewardship
- Integrating security reviews into CI/CD pipelines
Module 5. Secure Data Pipelines with Apache Tools
Apply ISO 27017 controls to Kafka, Airflow, and Spark workflows.
12 chapters in this module
- Securing Kafka topics with access controls
- Encrypting messages in transit for compliance
- Validating identity in Airflow DAG execution
- Managing secrets in distributed processing jobs
- Auditing Spark job submissions for anomalies
- Limiting data access in streaming pipelines
- Ensuring end-to-end encryption in data ingestion
- Monitoring pipeline health for security events
- Implementing zero-trust for inter-service data flow
- Securing checkpoint directories in streaming jobs
- Handling credentials in containerized workloads
- Logging pipeline operations for audit trails
Module 6. Cross-Functional Collaboration with Security Teams
Position yourself as a bridge between data engineering and compliance.
12 chapters in this module
- Translating security concerns into data model changes
- Explaining data pipeline risks to non-engineers
- Creating shared documentation with security teams
- Participating in joint risk assessment meetings
- Presenting control evidence in auditor-friendly formats
- Aligning data retention with compliance requirements
- Facilitating control walkthroughs with compliance leads
- Building trust through consistent control implementation
- Using common frameworks to reduce communication gaps
- Documenting decisions for cross-team transparency
- Jointly defining acceptable risk thresholds
- Driving alignment on data classification standards
Module 7. Automating Compliance Evidence Generation
Shift from manual documentation to code-driven compliance outputs.
12 chapters in this module
- Extracting control data from dbt catalog metadata
- Generating ISO 27017 compliance reports from code
- Automating evidence for access control reviews
- Building dashboards for real-time compliance visibility
- Integrating CI/CD hooks with security gates
- Using data lineage to prove data provenance
- Validating encryption settings through automated checks
- Creating self-updating audit packages
- Templatizing control documentation for reuse
- Reducing audit prep from weeks to hours
- Versioning compliance artifacts alongside code
- Alerting on control drift in production
Module 8. Designing for Auditor Readiness
Anticipate compliance questions and prepare evidence proactively.
12 chapters in this module
- Predicting auditor questions on data access controls
- Preparing data classification documentation in advance
- Organizing evidence by control clause
- Demonstrating separation of duties in team roles
- Documenting change management for data models
- Proving data integrity through hashing and logging
- Showing data retention and deletion compliance
- Providing logs of access reviews and approvals
- Clarifying shared responsibility boundaries
- Presenting encryption key management practices
- Verifying backup restoration procedures
- Demonstrating incident response readiness
Module 9. Advanced Data Encryption and Key Management
Implement robust encryption strategies that satisfy ISO 27017 requirements.
12 chapters in this module
- Choosing encryption algorithms for data at rest
- Managing keys with cloud-native KMS services
- Rotating encryption keys without breaking pipelines
- Securing key access in automated jobs
- Integrating HSMs for high-sensitivity data
- Handling envelope encryption in distributed systems
- Encrypting backups and snapshots
- Auditing key usage patterns
- Implementing client-side encryption for sensitive fields
- Managing cross-region key replication
- Using time-bound keys for temporary access
- Validating encryption in staging environments
Module 10. Vendor Risk Assessment for Cloud Data Tools
Evaluate third-party data tools through an ISO 27017 lens.
12 chapters in this module
- Assessing dbt Cloud compliance posture
- Reviewing Snowflake’s security certifications
- Evaluating Airflow managed service providers
- Analyzing KafkaaaS vendors for control gaps
- Validating encryption in SaaS data connectors
- Auditing logging capabilities of third-party tools
- Checking shared responsibility model clarity
- Verifying compliance documentation availability
- Assessing incident response SLAs
- Reviewing data residency and sovereignty commitments
- Evaluating vendor audit readiness
- Building vendor risk scorecards for engineering use
Module 11. Incident Response Readiness for Data Engineers
Prepare to respond to data security incidents with confidence and compliance.
12 chapters in this module
- Recognizing signs of data exfiltration
- Isolating compromised pipelines quickly
- Preserving logs for forensic analysis
- Coordinating with security teams during incidents
- Documenting response actions for audits
- Communicating impact without speculation
- Validating data integrity post-incident
- Implementing automated containment triggers
- Reviewing post-mortems for process improvement
- Updating controls based on incident findings
- Training teams on incident recognition
- Testing response playbooks regularly
Module 12. Becoming the Go-To Expert on Cloud Data Security
Solidify your role as the trusted internal advisor on compliant data systems.
12 chapters in this module
- Positioning yourself as a compliance enabler
- Sharing knowledge without overstepping
- Mentoring junior engineers on security basics
- Authoring internal best practice guides
- Leading brown bag sessions on ISO 27017
- Documenting institutional knowledge
- Building cross-functional credibility
- Influencing architecture decisions early
- Setting team-wide security standards
- Advocating for sustainable compliance practices
- Evolving from contributor to reference
- Measuring impact through peer recognition
How this maps to your situation
- During cloud security audit prep
- When onboarding new regulated data sources
- Before launching a new data product in production
- After a cross-functional security review identifies gaps
Before vs. after
Before
Frequent context-switching into security reviews without structured knowledge, leading to reactive explanations and delayed approvals.
After
You're the first call when compliance questions arise , equipped with clear mappings, templates, and credibility to shape secure data systems with confidence.
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 six weeks, or self-paced with full access immediately upon enrollment.
If nothing changes
Without structured knowledge of ISO 27017, data engineers risk being bypassed in key decisions, relying on last-minute scrambles for audits, and missing opportunities to lead on high-visibility projects.
How this compares to the alternatives
Unlike generic cloud security courses, this program is tailored to data engineers who need to speak both the language of pipelines and the language of compliance , with actionable templates and real-world mapping to tools you use daily.
Frequently asked
Is this course specific to Snowflake environments?
While the examples are cloud-agnostic, the control mappings and data modeling practices apply directly to Snowflake, dbt, and Apache tooling used in regulated data pipelines.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in audits?
Yes , you'll learn how to generate clear, reusable evidence for common ISO 27017 audit requirements directly from your data workflows.
$199 one-time. 90 minutes per week over six weeks, or self-paced with full access immediately upon enrollment..
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