A tailored course, built for your situation
Mastering SOC 2 for Data Science Engineers in Regulated Environments
Turn compliance into credibility with airtight SOC 2 evidence tailored to data systems
$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.
SOC 2 audits stall when data workflows aren't documented with control intent
The situation this course is for
Data engineers spend weeks reworking evidence because control mapping isn't built into pipelines from the start. Review cycles drag, findings pile up, and technical teams get blamed for gaps they couldn’t foresee.
Who this is for
Data Science Engineer at a global systems integrator working on client projects with compliance dependencies
Who this is not for
This is not for compliance generalists, GRC analysts, or auditors. It’s for engineers who own the data layer and want to get ahead of control requirements before they land as rework.
What you walk away with
- Produce SOC 2-ready data system documentation that survives deep-dive reviews
- Anticipate control expectations in data pipeline design, not retrofits
- Lead scoping discussions with internal audit teams confidently
- Build reusable evidence packs for repeat client engagements
- Become the first call when data controls come under question
The 12 modules (with all 144 chapters)
Module 1. The Engineer's Role in SOC 2 Audits
Understand how data science work intersects with Trust Services Criteria and where engineers have the most influence.
12 chapters in this module
- How SOC 2 evidence differs from standard engineering docs
- The five Trust Services Criteria every engineer must know
- Where data pipelines typically fail controls
- Mapping data workflows to common criteria
- Understanding auditor expectations for code reviews
- The difference between design and operating effectiveness
- How data access controls trigger audit flags
- When to escalate control gaps
- How client-specific requirements vary by industry
- Balancing agility with audit readiness
- Documenting decisions for future review
- Common misconceptions engineers have about compliance
Module 2. Control Mapping for Data Pipelines
Learn how to align data workflows with SOC 2 controls without slowing down development.
12 chapters in this module
- Identifying which controls apply to batch vs real-time pipelines
- Mapping authentication to pipeline execution
- How logging satisfies monitoring requirements
- Data lineage as evidence for processing integrity
- Version control as proof of change management
- Environment segregation in data workflows
- Scheduling controls to prevent unauthorized runs
- Input validation and data quality checks
- Error handling that supports audit trails
- Failover mechanisms as availability evidence
- Data retention and deletion workflows
- Mapping pipeline metadata to control objectives
Module 3. Evidence Design for Data Engineers
Design evidence outputs that satisfy auditors while fitting naturally into engineering workflows.
12 chapters in this module
- What auditors actually look for in code reviews
- Proving access controls without exposing credentials
- Logging levels that meet audit thresholds
- How to structure pipeline run metadata
- Using CI/CD logs as compliance evidence
- Capturing configuration drift automatically
- Validating control effectiveness in test environments
- Documenting exception handling procedures
- Proving segregation of duties in team workflows
- Using automated scans to supplement manual checks
- Versioning data pipeline documentation
- Linking pull requests to control updates
Module 4. SOC 2 Readiness for Spark and Databricks
Tailor your data platform workflows to meet control expectations in cloud environments.
12 chapters in this module
- Cluster configuration and audit compliance
- Access control patterns in Databricks workspaces
- Secrets management in notebook execution
- Job scheduling and audit trail integration
- Data access governance in shared environments
- Proving pipeline immutability in notebooks
- Exporting execution logs for review
- Enforcing code review gates in CI/CD
- Managing library dependencies securely
- Handling PII in development environments
- Auditing notebook access and changes
- Documenting pipeline ownership and handoffs
Module 5. Documenting Control Alignment in Code
Turn code comments, structure, and metadata into defensible compliance assets.
12 chapters in this module
- Writing audit-ready docstrings in Python
- Using DAG annotations for control mapping
- Embedding control IDs in pipeline metadata
- Proving input validation through unit tests
- Automatically generating evidence files
- Versioning control mappings with code
- Tagging pipelines by Trust Service Criteria
- Using code linters to enforce compliance patterns
- Building self-documenting pipelines
- Linking Jira tickets to control updates
- Structuring READMEs for auditor consumption
- Generating control reports from CI pipelines
Module 6. Working with Internal Audit Teams
Communicate technical realities in ways that build trust and reduce friction.
12 chapters in this module
- Understanding auditor workflows and timelines
- Translating technical details into control language
- Preparing for audit walkthroughs effectively
- Anticipating common audit questions on data
- Responding to findings without defensiveness
- Explaining technical constraints constructively
- Building credibility through consistent documentation
- Knowing when to push back on scope creep
- Using audit feedback to improve pipelines
- Establishing recurring syncs with compliance teams
- Sharing progress proactively
- Turning findings into engineering backlog items
Module 7. Client-Facing Compliance Deliverables
Structure client reports and deliverables to showcase compliance readiness.
12 chapters in this module
- What clients expect in SOC 2 appendices
- Redacting sensitive details while proving control
- Presenting pipeline architecture to non-engineers
- Using diagrams to show control flow
- Writing executive summaries without oversimplifying
- Packaging evidence for reuse across clients
- Handling client-specific control interpretations
- Negotiating scope with client audit teams
- Documenting exceptions and compensating controls
- Using standardized templates without losing nuance
- Getting client sign-off on control narratives
- Archiving deliverables for future audits
Module 8. Automating Evidence Collection
Reduce manual effort by baking evidence generation into data workflows.
12 chapters in this module
- Automated logging for pipeline runs
- Generating control-specific reports from logs
- Using metadata extraction for audit trails
- Building dashboards for control health
- Alerting on control drift
- Integrating with SIEM tools for monitoring
- Automating access review evidence
- Capturing configuration snapshots
- Validating control state at runtime
- Using infrastructure-as-code for auditability
- Triggering evidence exports on change
- Storing evidence in versioned buckets
Module 9. Handling Findings and Remediations
Respond to audit findings with precision and confidence.
12 chapters in this module
- Classifying finding severity correctly
- Root cause analysis for control failures
- Prioritizing technical remediations
- Documenting compensating controls
- Proving remediation through testing
- Retesting control effectiveness
- Updating documentation after fixes
- Communicating fixes to auditors
- Avoiding recurring findings
- Tracking findings to closure
- Using findings to improve design
- Building feedback loops into sprints
Module 10. SOC 2 for Machine Learning Pipelines
Adapt SOC 2 principles to model training and inference workflows.
12 chapters in this module
- Data provenance for training sets
- Model versioning and audit trails
- Access controls for model endpoints
- Logging predictions for review
- Validating model drift detection
- Proving retraining schedules
- Documenting feature engineering steps
- Handling bias testing in compliance
- Auditability of automated decisions
- Storing model artifacts securely
- Proving explainability workflows
- Compliance for A/B testing infrastructure
Module 11. Cross-Functional Influence Without Authority
Lead compliance efforts even when you don't own the process.
12 chapters in this module
- Positioning yourself as a compliance partner
- Influencing product teams on control design
- Educating peers without overstepping
- Documenting best practices for others
- Creating reusable templates for teams
- Running brown-bag sessions on SOC 2
- Building informal coalitions around readiness
- Gaining buy-in for compliance debt
- Escalating systemic issues tactfully
- Becoming the go-to person for questions
- Sharing wins across projects
- Mentoring junior engineers on compliance
Module 12. Building a Personal Playbook for SOC 2
Create a customized, reusable framework for future audits.
12 chapters in this module
- Compiling your most effective evidence patterns
- Organizing templates by control type
- Documenting lessons from past audits
- Creating a personal audit checklist
- Curating a reference library
- Building a pipeline audit trail template
- Designing a personal branding strategy
- Tracking your growing influence
- Sharing your playbook selectively
- Updating it quarterly
- Using it in performance reviews
- Turning it into a promotion narrative
How this maps to your situation
- Pre-audit preparation
- Active audit cycle
- Post-audit remediation
- Ongoing compliance maintenance
Before vs. after
Before
Spending extra cycles reworking evidence, reacting to findings, and explaining decisions after the fact.
After
Leading with documented, defensible positions that make you the first call when SOC 2 questions come up.
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 of focused reading, with optional deep-dive paths for hands-on practice.
If nothing changes
Without a structured approach, engineers spend 30-50% more time on audit cycles, miss opportunities to lead, and stay siloed from strategic conversations.
How this compares to the alternatives
Unlike generic SOC 2 courses, this is built for data engineers who need to produce evidence without becoming auditors. No fluff, no policy templates, just field-tested methods used in real data-heavy audits.
Frequently asked
Is this course for compliance officers or engineers?
It’s designed specifically for data and software engineers who own systems that fall under SOC 2 scope.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover ISO 27001 or other standards?
The focus is on SOC 2, but many concepts apply to ISO 27001, especially around control evidence in technical systems.
$199 one-time. 90 minutes of focused reading, with optional deep-dive paths for hands-on practice..
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