A tailored course, built for your situation
Mastering SOC 2 for Data Engineering Leaders
Build audit-ready data systems with full ownership of control design and evidence workflows
The situation this course is for
Data engineering leads are expected to deliver systems that meet compliance standards, but often lack formal authority over control design, evidence collection logic, or audit packaging, leading to rework, misalignment, and delayed sign-offs.
Who this is for
Senior data engineering leads in global consultancies who own delivery of compliance-impacted data platforms but lack explicit decision rights over control implementation
Who this is not for
Entry-level engineers, audit staff, or compliance generalists without hands-on data system ownership
What you walk away with
- Define and lock control mappings for data pipelines without escalation
- Set evidence collection thresholds and monitoring rules independently
- Own the final structure of automated compliance workflows
- Release audit packages on your timeline, without downstream gatekeeping
- Document decision rights that persist across team changes
The 12 modules (with all 144 chapters)
- Mapping Trust Services Criteria to data layers
- Identifying control-bound pipeline stages
- Integrating compliance into sprint planning
- Ownership boundaries between data and audit teams
- When to escalate vs. decide independently
- Defining evidence at source
- Control scope for real-time vs batch
- Versioning control logic alongside code
- Naming conventions for audit-ready assets
- Schema-level compliance tagging
- Pipeline monitoring thresholds
- Documenting control assumptions
- Decision rights vs influence zones
- Final say on control design variants
- Ownership of control exception narratives
- Setting evidence refresh rates
- Approving control automation scripts
- Managing peer review scope
- Updating control logic without review
- Escalation criteria you define
- Owning the control timeline
- Control handoff documentation
- Retention of control decision records
- Asserting ownership in cross-team reviews
- Embedding logging triggers in ingestion
- Automated anomaly flagging rules
- Timestamp integrity controls
- Evidence freshness SLAs
- Schema compliance checkpoints
- Access log integration
- User behavior tracking thresholds
- Data lineage for audit tracing
- Automated control failure tagging
- Version-aligned evidence bundles
- Pipeline pause conditions
- Evidence retention rules
- Setting baseline performance alerts
- Control drift detection intervals
- Anomaly detection sensitivity levels
- Automated remediation triggers
- Threshold override protocols
- Defining normal vs outlier
- Logging frequency rules
- Resource usage caps as controls
- Pipeline timeout definitions
- Backfill initiation rules
- Alert fatigue mitigation settings
- Review cycle automation
- Control status auto-updates
- Evidence packaging triggers
- Attestation workflow design
- Automated gap flagging
- Remediation deadline rules
- Status broadcast intervals
- Control validation scripts
- Integration with audit tools
- Exception handling automation
- Escalation routing logic
- Status sync with GRC platforms
- Compliance dashboard rules
- Defining acceptable variance bands
- Risk-based exception criteria
- Documenting rationale for gaps
- Time-bound remediation plans
- Stakeholder notification rules
- Escalation paths you control
- Exception review cadence
- Status of open gaps
- Reporting exception trends
- Updating tolerance thresholds
- Closure validation rules
- Audit trail retention
- Versioning compliance artifacts
- Packaging automation scripts
- Bundle validation checks
- Release gate criteria
- Access control for audit packages
- Distribution list rules
- Incremental update logic
- Bundle expiration policies
- Version rollback procedures
- Audit readiness scorecards
- Final review sign-off
- Package audit trail
- Decision rationale capture
- Design assumption documentation
- Control logic flow diagrams
- Pipeline-to-control mapping
- Architecture decision records
- Control ownership handover
- Onboarding for new members
- Audit Q&A prep docs
- Version diff summaries
- Change impact assessments
- Compliance debt tracking
- Living control playbooks
- Standard vs major updates
- Change window rules
- Peer notification protocols
- Automated testing of rule changes
- Rollback procedures
- Impact assessment templates
- Change logging requirements
- Version control for rules
- Staging environment use
- Production deployment checklist
- Post-deployment validation
- Change freeze periods
- Setting the default control approach
- Reference architecture adoption
- Influencing peer designs
- Control standard documentation
- Cross-team review templates
- Feedback incorporation rules
- Design consistency benchmarks
- Control maturity scoring
- Peer validation protocols
- Joint decision frameworks
- Escalation prevention tactics
- Control governance meetings
- Automated control testing
- Test result logging
- False positive handling
- Control degradation alerts
- Re-validation frequency
- Drift detection logic
- Pipeline migration checks
- Schema change impact rules
- Control exception baselining
- Remediation tracking
- Validation report templates
- Audit readiness alerts
- Template pipeline designs
- Control module library
- Automated documentation
- Playbook for new projects
- Onboarding new clients
- Scaling across industries
- Customization guardrails
- Version management
- Lessons learned integration
- Client-specific adaptation
- Certification alignment
- Long-term maintenance plan
How this maps to your situation
- Implementing SOC 2 controls in client-facing data platforms
- Reducing rework from audit findings
- Leading compliance efforts without formal authority
- Scaling compliant data architectures across engagements
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 3 hours per module, designed for integration into active project cycles.
How this compares to the alternatives
Unlike generic SOC 2 courses, this program is built specifically for data engineering leads who must own control decisions without managerial authority. It focuses on concrete decision rights, automation design, and artifact ownership , not abstract frameworks.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.