A tailored course, built for your situation
Mastering SOC 2 for Data Platform Engineers in High-Growth Tech
A structured path to owning compliance-critical systems with confidence and precision
The situation this course is for
Data platform engineers in high-growth environments spend disproportionate time responding to compliance demands, often retrofitting controls after architecture decisions are made. This leads to rework, stakeholder friction, and missed opportunities to lead from the front on security and governance.
Who this is for
Senior data platform engineer at a fast-scaling tech company, responsible for systems that handle sensitive data and must meet SOC 2 requirements. Works cross-functionally with security, compliance, and product teams. Values precision, efficiency, and technical ownership.
Who this is not for
Junior engineers still learning core data platform tools, compliance auditors focused on checklists, or managers looking for high-level overviews without technical depth.
What you walk away with
- Produce SOC 2-ready control documentation in parallel with system design, not after
- Reduce time spent on compliance cycles by 85% through reusable, auditable templates
- Lead control mapping discussions with authority and source-backed reasoning
- Anticipate auditor questions and preempt findings before review cycles begin
- Turn compliance work into a differentiator for promotion and project leadership
The 12 modules (with all 144 chapters)
- Understanding SOC 2 Trust Services Criteria in data context
- Mapping data platform ownership to control domains
- How data engineers influence security and availability criteria
- Differentiating between direct and indirect control responsibilities
- Integrating compliance into sprint planning cycles
- Documenting system boundaries for auditor clarity
- Working with compliance teams without losing velocity
- Tracking control evidence at the architecture level
- Versioning control documentation alongside code
- Using data lineage to support compliance narratives
- Common misalignments between engineering and auditor expectations
- Setting up early-warning signals for control drift
- Designing access controls for data pipelines and warehouses
- Implementing encryption at rest and in transit for compliance
- Logging and monitoring strategies that satisfy audit needs
- Automating user provisioning and deprovisioning workflows
- Defining acceptable use policies for data platform tools
- Configuring change management for database schemas
- Enforcing segmentation of duties in data operations
- Building audit trails into ETL processes
- Validating control design against SOC 2 criteria
- Documenting control logic for non-technical reviewers
- Using infrastructure-as-code to enforce compliance
- Testing control effectiveness before auditor review
- Identifying the minimum viable evidence set per control
- Scheduling automated log exports for auditor access
- Generating access review reports from IAM systems
- Capturing configuration snapshots for point-in-time audits
- Using data catalog metadata as compliance evidence
- Integrating evidence collection into CI/CD pipelines
- Standardizing evidence formats across teams
- Versioning evidence alongside control documentation
- Reducing evidence requests through proactive disclosure
- Building dashboards for real-time compliance status
- Handling evidence for third-party data processors
- Documenting exceptions with mitigation plans
- Mapping manual compliance tasks to automation candidates
- Using workflow engines to manage control attestations
- Scheduling recurring access reviews with self-service tools
- Automating policy acknowledgment tracking
- Integrating Jira with compliance tracking systems
- Building automated evidence bundles for auditor delivery
- Triggering compliance checks on infrastructure changes
- Using APIs to pull evidence from cloud providers
- Validating automation outputs against control objectives
- Documenting automation logic for auditor review
- Handling exceptions in automated workflows
- Scaling automation across multiple data systems
- Assessing SOC 2 impact during project scoping
- Including compliance requirements in technical design docs
- Engaging compliance teams during architecture reviews
- Selecting technologies that support auditability
- Designing data flows with logging and monitoring
- Documenting data classification and handling rules
- Planning for data retention and deletion compliance
- Evaluating third-party vendors for SOC 2 alignment
- Building compliance into project timelines
- Creating reusable project templates with controls
- Training project teams on compliance expectations
- Measuring SOC 2 readiness before launch
- Understanding auditor objectives and timelines
- Preparing for auditor inquiries with documentation
- Responding to findings with root-cause analysis
- Providing evidence in auditor-preferred formats
- Scheduling walkthroughs for complex controls
- Clarifying scope boundaries with auditor teams
- Handling follow-up questions efficiently
- Using auditor feedback to improve processes
- Building relationships with audit firms
- Anticipating common auditor questions
- Documenting responses for future cycles
- Closing findings with sustainable fixes
- Translating technical configurations to control language
- Using standardized templates for control descriptions
- Linking evidence to specific control assertions
- Maintaining up-to-date control inventories
- Documenting compensating controls clearly
- Versioning control documentation with changes
- Using diagrams to explain complex control setups
- Writing for both technical and non-technical readers
- Organizing documentation for easy auditor access
- Integrating control maps into system documentation
- Handling control changes during system updates
- Auditing control documentation for completeness
- Defining security incidents in data platform context
- Logging and alerting on potential control violations
- Documenting incident response procedures
- Including compliance teams in incident workflows
- Preserving evidence during incident investigations
- Reporting incidents to auditors when required
- Conducting post-mortems with compliance in mind
- Updating controls based on incident learnings
- Testing incident response plans annually
- Documenting breach scenarios and mitigations
- Handling data loss or exposure events
- Communicating incidents to stakeholders
- Assessing vendor SOC 2 reports for relevance
- Identifying gaps in vendor compliance coverage
- Documenting responsibility matrices with vendors
- Requiring SOC 2 compliance in procurement contracts
- Monitoring vendor compliance status over time
- Handling sub-processors in vendor ecosystems
- Validating vendor controls through audits
- Managing evidence for vendor-managed services
- Negotiating audit rights with vendors
- Building contingency plans for vendor non-compliance
- Onboarding new vendors with compliance checks
- Offboarding vendors securely and completely
- Defining key compliance health indicators
- Building dashboards for real-time control status
- Setting up automated alerts for control drift
- Integrating monitoring with incident response
- Using configuration management databases for compliance
- Tracking control effectiveness over time
- Auditing monitoring systems themselves
- Reporting compliance status to leadership
- Using data quality metrics as compliance signals
- Correlating security events with control gaps
- Scaling monitoring across growing data systems
- Documenting monitoring logic for auditors
- Creating standardized compliance playbooks
- Training data engineers on SOC 2 fundamentals
- Establishing centers of excellence for compliance
- Sharing templates and tools across teams
- Aligning on common control implementations
- Coordinating evidence collection at scale
- Managing compliance for shared services
- Handling team-specific variations in controls
- Onboarding new teams to compliance workflows
- Measuring compliance maturity across teams
- Recognizing high-performing compliance practices
- Reducing duplication through shared resources
- Tracking changes in SOC 2 and related standards
- Planning for upcoming compliance requirements
- Investing in automation for long-term efficiency
- Building institutional knowledge in compliance
- Mentoring junior engineers on compliance practices
- Contributing to internal compliance communities
- Sharing best practices externally without overexposing
- Evaluating new tools for compliance enablement
- Balancing innovation with compliance rigor
- Documenting lessons learned across cycles
- Positioning yourself as a compliance leader
- Turning compliance expertise into career growth
How this maps to your situation
- Control documentation under time pressure
- Cross-functional friction during audit cycles
- Repetitive manual work in evidence collection
- Scaling compliance across growing data infrastructure
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: 90 minutes per week for 12 weeks, or self-paced with full access immediately upon enrollment.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to data platform engineers in high-growth tech environments, with concrete examples, templates, and workflows that apply directly to your daily work.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.