A tailored course, built for your situation
Mastering CSA STAR for Data Platform Engineers in Regulated Industries
Build defensible audit narratives with source-backed design decisions for cloud 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.
Audit evidence packs requiring last-minute rework due to inconsistent control mappings
The situation this course is for
Platform engineers spend cycles rebuilding audit evidence because design choices lack traceable justification to standards. This leads to overworked teams, delayed certifications, and exposure during regulator follow-ups, especially when cross-functional reviewers challenge control scope.
Who this is for
Senior data platform engineer or cloud infrastructure specialist working in a regulated environment (finance, healthcare, public cloud), responsible for implementing and documenting security and compliance controls in data architectures
Who this is not for
Junior developers, general IT support staff, non-technical compliance analysts, or teams operating outside data platform engineering
What you walk away with
- Produce audit-ready control evidence that passes reviewer scrutiny the first time
- Walk through design decisions with specific examples from CSA STAR guidance
- Use traceable mappings between data layer decisions and framework clauses
- Reduce rework cycles by reusing validated implementation patterns
- Answer peer challenges with sourced, technical reasoning instead of policy abstractions
The 12 modules (with all 144 chapters)
Module 1. CSA STAR Framework Fundamentals for Data Engineers
Understand the core structure of the CSA STAR registry, its alignment with cloud data workflows, and how it maps to real-world architecture decisions beyond compliance checklists.
12 chapters in this module
- What CSA STAR is and why it matters for data platforms
- Difference between CCM, Attestation, and Self-Assessment paths
- How CSA STAR integrates with NIST CSF and ISO 27001 controls
- Role of data engineers in defining control ownership
- Common misinterpretations of domain objectives by engineering teams
- Mapping cloud data workflows to the 16 control domains
- How DBT transformations affect logical access boundaries
- Snowflake account structure implications for multi-tenancy
- Version-controlled schema changes and audit trail requirements
- Integrating policy language with infrastructure-as-code templates
- Tracking control maturity across development lifecycles
- Using CSA STAR as a design tool, not just a compliance target
Module 2. Control Domain 1: Governance and Enterprise Risk
Link data engineering decisions to enterprise risk posture by grounding schema, access, and pipeline governance in documented risk assessments.
12 chapters in this module
- Defining data risk appetite for engineering teams
- Translating board-level risk priorities into control rules
- Documenting oversight roles for pipeline ownership
- How data classification drives control scope
- Integrating risk treatment plans with incident response
- Role of metadata tagging in risk mapping
- Using DBT models to enforce classification hierarchies
- Audit trails for schema change approvals
- Controlled delegation of admin privileges
- Maintaining segregation of duties in shared environments
- Versioned risk assessments for recurring audits
- Connecting quarterly reviews to control updates
Module 3. Control Domain 2: Information Architecture Design
Apply CSA STAR principles to data layer design, ensuring cloud-native architectures meet control expectations out of the gate.
12 chapters in this module
- Embedding control ownership in data model design
- Designing logical boundaries between environments
- Mapping data flows to control domains
- Using schema patterns to enforce least privilege
- Documenting data lineage for auditor review
- Control implications of transient tables
- Secure handling of PII across staging layers
- Encryption key management in multi-region setups
- Tokenization strategies for sensitive fields
- Designing immutable audit logs in Snowflake
- Integrating tagging with access control policies
- Validating design assumptions against control clauses
Module 4. Control Domain 3: Supply Chain and Vendor Risk
Ensure third-party tools and integrations meet compliance thresholds through documented due diligence and control validation.
12 chapters in this module
- Assessing DBT Cloud versus self-hosted risk profiles
- Documenting vendor compliance attestations
- Validating API security in data pipelines
- Reviewing sub-processor agreements for cloud tools
- Control expectations for open-source dependencies
- Secure credential storage for external integrations
- Audit logging for vendor-triggered events
- Change management for third-party tool updates
- Patch management SLAs and evidence tracking
- Monitoring anomalous behavior from vendor IPs
- Fallback procedures during vendor outages
- Building incident playbooks with vendor inputs
Module 5. Control Domain 4: Access Control and Identity Management
Implement least privilege and role-based access with traceable design decisions that satisfy auditor scrutiny.
12 chapters in this module
- Defining role hierarchies for data consumers
- Mapping identity providers to access entitlements
- Using network policies to restrict data access
- Session tagging for granular auditability
- Implementing time-bound access for contractors
- Multi-factor authentication enforcement patterns
- Automated deprovisioning workflows
- Reviewing access grants quarterly with evidence
- Using DBT tests to validate access assumptions
- Segregation of duties in pipeline deployment
- Logging all identity changes for review
- Reconciling access roles with job functions
Module 6. Control Domain 5: Data Isolation and Tenant Boundaries
Design cloud data environments to enforce logical and physical separation where required by compliance or risk posture.
12 chapters in this module
- Differentiating logical vs physical isolation
- Using resource monitors to enforce boundaries
- Account structure decisions for multi-tenancy
- Schema segregation patterns in Snowflake
- Cross-database access control policies
- Data masking rules for shared environments
- Row-level security with dynamic filters
- Tenant-specific encryption key strategies
- Audit trail separation by customer
- Validating isolation through penetration tests
- Change control for cross-tenant pipelines
- Documentation requirements for regulator review
Module 7. Control Domain 6: Encryption and Key Management
Ensure data protection in transit and at rest with implementation patterns that align with CSA STAR and auditor expectations.
12 chapters in this module
- Default encryption in Snowflake and its limitations
- Client-side encryption for sensitive workloads
- Key rotation schedules and evidence tracking
- Using AWS KMS with external stages
- Managing access to key management systems
- Documenting key custodian roles
- Encryption for data exports and backups
- Tokenization versus masking trade-offs
- Validating end-to-end encryption paths
- Logging key access attempts
- Fallback decryption procedures
- Integrating key management with incident response
Module 8. Control Domain 7: Audit Logging and Monitoring
Build immutable, queryable logs that provide clear evidence of control effectiveness for internal and external reviewers.
12 chapters in this module
- Required log fields for CSA STAR compliance
- Storing audit logs outside production databases
- Retention policies aligned with regulations
- Querying access logs using Snowflake functions
- Alerting on anomalous data access patterns
- Integrating logs with SIEM tools
- Immutable storage patterns for audit trails
- Using DBT to validate log completeness
- Testing log ingestion failure modes
- Documenting log review procedures
- Role-based access to audit data
- Exporting logs securely for third-party review
Module 9. Control Domain 8: Change and Configuration Management
Establish traceable workflows for data platform changes that provide auditors with confidence in control consistency.
12 chapters in this module
- Version control for Snowflake schema changes
- Code reviews as control validation steps
- Automated testing of configuration changes
- Using DBT snapshots to track data state
- Approval workflows for production deployments
- Rollback procedures for failed changes
- Change advisory board documentation
- Validating environment parity
- Tracking configuration drift
- Integrating change logs with audit trails
- Emergency change procedures with oversight
- Post-implementation control verification
Module 10. Control Domain 9: Resilience and Disaster Recovery
Design data infrastructure for continuity with documented, testable recovery processes.
12 chapters in this module
- Defining RTO and RPO for data layers
- Cross-region replication strategies
- Backup frequency and verification
- Failover testing documentation
- Restoring from point-in-time snapshots
- Data consistency checks after recovery
- Orchestrating recovery with DBT pipelines
- Communicating recovery status to stakeholders
- Logging recovery activities
- Reviewing DR plans annually with evidence
- Integrating DR with incident management
- Updating recovery procedures after system changes
Module 11. Control Domain 10: Incident Response and Forensics
Prepare data platforms for security events with predefined response workflows and evidence preservation.
12 chapters in this module
- Defining incident severity levels for data events
- Roles and responsibilities during response
- Preserving immutable logs during incidents
- Isolating compromised data objects
- Using DBT to reconstruct data state
- Chain of custody documentation
- Forensic data collection procedures
- Reporting incidents to stakeholders
- Post-mortem review templates
- Updating controls based on incident findings
- Training teams on response playbooks
- Testing response plans annually
Module 12. Building Defensible Audit Narratives
Compile control evidence into a coherent, reviewer-ready package with sourced rationale for every design decision.
12 chapters in this module
- Structuring the audit evidence package
- Writing control descriptions with specificity
- Including CSA STAR clause references
- Using screenshots and code samples as proof
- Referencing internal policies and standards
- Linking design decisions to risk assessments
- Including test results and monitoring data
- Validating evidence completeness
- Preparing for auditor follow-up questions
- Reusing narratives across review cycles
- Updating documentation incrementally
- Training new team members on narrative structure
How this maps to your situation
- Pre-audit evidence preparation
- Cross-functional control validation
- Regulator follow-up readiness
- Internal compliance review cycles
Before vs. after
Before
Spending weeks compiling audit evidence with inconsistent rationale and last-minute rework due to reviewer questions
After
Producing defensible, source-backed control narratives in hours, with reusable templates and clear decision trails
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 for completion over four weeks with weekend access.
If nothing changes
Without structured, defensible control documentation, data engineering teams face repeated audit cycles, increased scrutiny, and missed opportunities to lead on strategic compliance initiatives.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to data engineers working in cloud environments with DBT and Snowflake, focusing on actionable, audit-ready outputs rather than abstract policy discussion.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover Snowflake-specific configurations?
Yes, with implementation patterns tailored to Snowflake accounts, roles, and data pipelines, while avoiding product marketing.
Can I use this for team training?
The course is designed for individual practitioners, but the implementation playbook supports team rollout.
$199 one-time. Approximately 90 minutes per module, designed for completion over four weeks with weekend access..
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