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SEC9993 Mastering SOC 2 for AWS Data Engineers in High-Pressure Compliance Environments

$199.00
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A tailored course, built for your situation

Mastering SOC 2 for AWS Data Engineers in High-Pressure Compliance Environments

Build trusted, audit-ready data systems with confidence and precision

$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 cycles justifying data architecture choices that should be yours to make

The situation this course is for

Strong engineers get second-guessed on encryption scope, access policies, and audit evidence boundaries, not because their judgment is flawed, but because authority isn’t structured around their domain expertise

Who this is for

Senior data engineers in regulated environments who are expected to deliver compliant infrastructure without formal command over control definitions

Who this is not for

Junior engineers still learning cloud fundamentals or practitioners outside data infrastructure roles

What you walk away with

  • Define encryption scope for data at rest and in motion without escalation
  • Own the approval threshold for role-based access logging in data pipelines
  • Structure data retention policies that satisfy both engineering and compliance needs
  • Lead integration decisions for monitoring tools into audit evidence flows
  • Produce documented control boundaries that stand up to internal and external review

The 12 modules (with all 144 chapters)

Module 1. Defining Your Control Boundary in the AWS Data Stack
Establish where your authority begins and ends within the shared responsibility model, focusing on data-specific controls you own independently.
12 chapters in this module
  1. Mapping AWS service ownership to compliance accountability
  2. Identifying data controls that do not require security team sign-off
  3. Documenting decision rights for encryption key management
  4. Setting thresholds for automated alerting on PII access
  5. Defining scope for logging data pipeline transformations
  6. Ownership criteria for data masking implementation
  7. Control boundaries for cross-account data sharing
  8. Determining responsibility for data lifecycle automation
  9. Establishing authority over metadata tagging standards
  10. Handling audit evidence collection without escalation
  11. Integration points requiring joint ownership with security
  12. Documentation format for control boundary assertions
Module 2. Data Classification That Drives Access Policies
Implement a classification framework that directly informs access controls and encryption rules without requiring cross-functional approvals.
12 chapters in this module
  1. Criteria for labeling data as public, internal, or restricted
  2. Automating classification based on source system tags
  3. Handling ambiguous classification cases in real time
  4. Mapping classification levels to encryption requirements
  5. Setting retention rules by data sensitivity tier
  6. Triggering access review cycles based on classification
  7. Documenting rationale for classification exceptions
  8. Integrating classification with IAM policy enforcement
  9. Updating classification in response to business changes
  10. Audit evidence for classification decision trails
  11. Handling classification drift in long-running pipelines
  12. Owner verification process for high-sensitivity data
Module 3. Encryption Scope Definition and Enforcement
Take ownership of where and how encryption is applied across data in transit and at rest based on classification and risk profile.
12 chapters in this module
  1. Determining which data requires KMS encryption by default
  2. Setting key rotation policies per data tier
  3. Handling client-side vs server-side encryption decisions
  4. Documenting exceptions to encryption requirements
  5. Validating encryption coverage in staging environments
  6. Monitoring for unencrypted data ingestion paths
  7. Integrating encryption status with CI/CD pipeline checks
  8. Setting thresholds for alerting on decryption attempts
  9. Handling key access during incident response
  10. Documenting encryption scope for auditor review
  11. Updating encryption policies during schema changes
  12. Ownership of encryption configuration drift detection
Module 4. Access Control Design for Data Pipelines
Define and enforce role-based access to data systems without requiring central IAM team approvals for standard use cases.
12 chapters in this module
  1. Designing least-privilege roles for ETL processes
  2. Setting access review frequency based on data sensitivity
  3. Handling just-in-time access for debugging workflows
  4. Automating role expiration for temporary data access
  5. Integrating access logging with security information systems
  6. Defining escalation paths for access denials
  7. Documenting role justification for audit purposes
  8. Handling service account access to data stores
  9. Setting granular permissions for query engines
  10. Managing cross-environment data access requests
  11. Updating access controls during team restructuring
  12. Validating access policies against actual usage patterns
Module 5. Retention and Deletion Policy Implementation
Own the rules for how long data is kept and when it is securely deleted based on classification and regulatory alignment.
12 chapters in this module
  1. Setting retention periods by data classification tier
  2. Automating deletion workflows for expired datasets
  3. Handling legal hold exceptions to deletion policies
  4. Documenting data deletion verification steps
  5. Integrating retention rules with backup systems
  6. Alerting on unauthorized data restoration attempts
  7. Managing retention for test and staging environments
  8. Handling cross-border data residency requirements
  9. Updating policies for changing compliance mandates
  10. Audit evidence for data destruction events
  11. Retention workflows during organizational changes
  12. Ownership of data lifecycle automation monitoring
Module 6. Audit Evidence Packaging for SOC 2
Produce complete, defensible evidence packages for SOC 2 without relying on centralized compliance teams for data-specific artifacts.
12 chapters in this module
  1. Identifying required evidence for data access controls
  2. Automating evidence collection from AWS CloudTrail
  3. Validating completeness of logging data inputs
  4. Documenting control operation for auditor review
  5. Packaging evidence in standardized review formats
  6. Handling evidence for multi-account architectures
  7. Responding to auditor follow-up questions
  8. Updating evidence packages for control changes
  9. Integrating evidence validation into deployment gates
  10. Maintaining evidence chain during infrastructure changes
  11. Setting review cycles for evidence package accuracy
  12. Documenting ownership of evidence package integrity
Module 7. Monitoring and Alerting for Control Violations
Design and maintain monitoring systems that detect and alert on control deviations specific to data handling policies.
12 chapters in this module
  1. Setting thresholds for PII access monitoring
  2. Detecting unauthorized changes to encryption settings
  3. Alerting on policy violations in CI/CD pipelines
  4. Handling false positives in anomaly detection
  5. Integrating alerts with incident response workflows
  6. Defining escalation paths for critical control breaches
  7. Maintaining alert coverage during system changes
  8. Validating monitoring effectiveness post-deployment
  9. Documenting alert tuning decisions
  10. Reviewing alert history for control improvement
  11. Handling alert fatigue in high-volume environments
  12. Ownership of monitoring configuration updates
Module 8. Integration Design with Central Security Systems
Own the integration points between data pipelines and centralized security tools without requiring centralized team approvals.
12 chapters in this module
  1. Mapping data flow to security monitoring requirements
  2. Setting data normalization standards for SIEM ingestion
  3. Handling schema changes in security telemetry feeds
  4. Validating completeness of security event delivery
  5. Defining ownership of integration failure response
  6. Updating integrations during control framework updates
  7. Documenting integration design for auditor review
  8. Managing credentials for security system access
  9. Handling integration downtime scenarios
  10. Setting performance expectations for telemetry delivery
  11. Reviewing integration effectiveness quarterly
  12. Maintaining integration documentation for successors
Module 9. Change Management for Data Controls
Implement structured change processes for data-related controls that balance agility with compliance requirements.
12 chapters in this module
  1. Defining change approval levels based on impact
  2. Handling emergency changes to access policies
  3. Documenting change rationale for auditor review
  4. Validating changes in staging before production
  5. Setting review frequency for control effectiveness
  6. Managing rollback procedures for failed changes
  7. Communicating changes to dependent teams
  8. Updating evidence packages after control changes
  9. Tracking change history for audit purposes
  10. Handling change requests during audit periods
  11. Ownership of change validation artifacts
  12. Maintaining change logs for long-term review
Module 10. Incident Response for Data Security Events
Lead the data-specific aspects of incident response with documented authority over investigation scope and remediation steps.
12 chapters in this module
  1. Defining data-related incident classification levels
  2. Setting response timelines based on data sensitivity
  3. Handling evidence preservation for data breaches
  4. Documenting data access patterns during investigations
  5. Validating scope of data exposure after incidents
  6. Managing communication with compliance stakeholders
  7. Updating controls based on incident findings
  8. Reviewing incident response effectiveness
  9. Handling cross-border data breach notification
  10. Ownership of post-incident control reviews
  11. Maintaining incident playbook currency
  12. Documenting incident response decisions
Module 11. Vendor Integration for Data Tools
Own the evaluation and integration of third-party data tools with documented authority over compliance alignment.
12 chapters in this module
  1. Assessing vendor compliance posture for data tools
  2. Setting data handling requirements in contracts
  3. Validating encryption capabilities in vendor tools
  4. Documenting data flow through third-party systems
  5. Handling audit access requirements for vendors
  6. Managing data ownership during vendor transitions
  7. Setting monitoring requirements for vendor integrations
  8. Reviewing vendor security certifications
  9. Handling data portability requirements
  10. Defining exit criteria for vendor relationships
  11. Maintaining vendor risk assessment records
  12. Ownership of integration control validation
Module 12. Control Boundary Communication and Handover
Document and communicate your control ownership clearly to ensure continuity during team changes or audits.
12 chapters in this module
  1. Creating control boundary diagrams for new hires
  2. Documenting decision rights for escalation scenarios
  3. Maintaining up-to-date control ownership records
  4. Handling knowledge transfer during team changes
  5. Updating documentation after control changes
  6. Reviewing boundary clarity with cross-functional teams
  7. Setting review cycles for documentation accuracy
  8. Managing access to control documentation
  9. Handling auditor questions about ownership
  10. Preserving institutional knowledge
  11. Updating onboarding materials based on changes
  12. Ownership of boundary communication effectiveness

How this maps to your situation

  • Data governance under compliance pressure
  • Autonomy in technical decision-making
  • Audit readiness without rework
  • Cross-functional authority in hybrid roles

Before vs. after

Before
Frequent rework and escalation on data control decisions that should be yours to make
After
Your call stands on encryption scope, access policies, and retention rules , with clear documentation and audit readiness

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 for 4 weeks, or complete in a single weekend

If nothing changes
Continuing to operate without structured command over data controls means repeated justification cycles, delayed deployments, and missed opportunities to lead compliance integration from the engineering side

How this compares to the alternatives

Generic cloud security courses don't address the specific control ownership challenges faced by data engineers in audit-heavy environments. This course is built for practitioners who must balance agility with compliance in AWS-native data systems.

Frequently asked

Is this course focused on AWS specifically?
Yes, all examples and implementation patterns are based on AWS data services and compliance tooling.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me during an actual SOC 2 audit?
Yes, you'll produce documented control ownership that auditors can review directly, reducing back-and-forth.
$199 one-time. 90 minutes per week for 4 weeks, or complete in a single weekend.

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
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