A tailored course, built for your situation
Executive visibility on security-critical engineering decisions
A tailored path to elevate your impact as a data engineer working at the intersection of infrastructure and risk
Who this is for
Early-career data engineer in a high-scale tech environment, contributing to systems that process sensitive or regulated data and are increasingly subject to pre-audit scrutiny under secure engineering frameworks.
Who this is not for
Engineers focused solely on batch reporting or dashboarding without infrastructure ownership, or those not engaged with security-aware development practices.
What you walk away with
- Produce data pipeline documentation that gets pulled into architecture reviews
- Map ETL logic to OWASP Top 10 controls with confidence
- Anticipate security team pushback with pre-emptive design patterns
- Surface risks and mitigations in language aligned with AppSec engineers
- Build reusable templates that compound across projects
The 12 modules (with all 144 chapters)
- From pipelines to attack surfaces
- How Meta’s security posture maps to OWASP
- Data roles in secure software delivery
- Control ownership vs influence
- The shift-left imperative
- What gets measured gets elevated
- Building trust through transparency
- OWASP beyond web apps
- Data as a first-class security asset
- Security reviews as promotion signals
- Documenting decisions for audit trails
- Making your work referenceable
- Ingestion and injection risks
- Authentication gaps in service accounts
- Data store configuration flaws
- Error handling leaks
- Access control logic in transformations
- Encryption in transit vs at rest
- Deserialization risks in JSON parsing
- Input validation for semi-structured data
- Resource exhaustion in long-running jobs
- Logging PII exposure risks
- Server-side request forgery in APIs
- Post-mapping validation checklist
- Secure pipeline scaffolding
- Role-based access templates
- Automated secrets handling
- Schema validation on entry
- Dynamic masking rules
- Audit trail injection
- Chain-of-custody markers
- Immutable logging setup
- Controlled branching logic
- Safe failure modes
- Versioned configuration
- Signed deployment artifacts
- Design doc headers AppSec respects
- Stakeholder-specific views
- Threat model annotations
- Control mapping tables
- Automated SoA generation
- Change logging rhythm
- Version comparison formats
- Review request templates
- Decision rationale capture
- Peer validation workflows
- Cross-team referencing
- Living doc maintenance
- From data issues to OWASP categories
- Risk likelihood calibration
- Impact framing for engineers
- Mitigation specificity
- False positive preemption
- Evidence-backed assertions
- Avoiding overclaiming
- Using MITRE ATT&CK links
- Severity tiering logic
- Escalation thresholds
- Pre-review dry runs
- Response playbook drafting
- Top 12 security objections
- Default deny justification
- Logging completeness gap
- Data lineage requests
- Retention policy alignment
- Encryption key management
- Third-party library risks
- Service account lifecycle
- Break-glass access design
- Pen test readiness checklist
- Compliance boundary mapping
- Zero-trust assumptions
- Modular control packs
- Pipeline security boilerplate
- Automated linting rules
- Template governance
- Version promotion paths
- Team onboarding kits
- Pre-audit self-assessments
- Stakeholder comms templates
- Change advisory board inputs
- Post-mortem integration
- Lessons learned indexing
- Internal knowledge sharing
- Meta’s review calendar rhythm
- Pre-submission alignment
- Staggered control rollout
- Escalation path mapping
- Sponsor briefing prep
- Cross-functional sign-off
- Feedback incorporation loops
- Review outcome archiving
- Lessons from past rejections
- Advocacy coalition building
- Influence without authority
- Visibility through consistency
- Export sanitization workflows
- Token-based access models
- Row-level security design
- API rate limiting
- OAuth scope alignment
- Data watermarking
- Audit trail inclusion
- Expiration policies
- Revocation mechanisms
- Consent tracking
- Usage reporting
- Breach simulation prep
- Ownership without title
- Building a track record
- Visibility rhythms
- Sponsoring upward
- Credit-sharing balance
- Technical narrative control
- Speaking at brown bags
- Mentorship positioning
- Cross-team relationships
- Knowledge encapsulation
- Reputation as leverage
- Long-term positioning
- Static analysis for SQL
- Pipeline linter setup
- Secrets detection rules
- Schema drift alerts
- Control policy enforcement
- Automated SoA updates
- Integration with Jira
- Alert routing logic
- False positive tuning
- Remediation workflows
- Compliance scorecards
- Executive summary automation
- Anticipating cross-team questions
- Building consensus pre-meetings
- Data-backed assertions
- Deflecting scope creep
- Owning edge cases
- Presenting trade-offs
- Balancing speed and rigor
- Calling in debts
- Credibility compounding
- Follow-up leadership
- Visibility to advancement
- Next-step readiness
How this maps to your situation
- Preparing for first security audit
- Designing a new pipeline with sensitive data
- Responding to AppSec feedback
- Transitioning from intern to full-time role
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 to fit around internship responsibilities with just-in-time applicability.
How this compares to the alternatives
Unlike generic OWASP courses focused on web apps, this program is tailored specifically for data engineers in large tech environments, with Meta-relevant tooling, documentation standards, and review cycle alignment.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.