Privacy Engineer
Privacy compliance that lives only in a policy document, disconnected from the actual codebase, doesn't hold up when a regulator or a customer asks for proof. We build PII discovery, data minimization, consent enforcement, and right-to-be-forgotten pipelines directly into your code and data infrastructure, so privacy requirements are enforced automatically rather than depending on someone remembering to follow the policy. This is for teams facing GDPR, CCPA, or similar obligations who need privacy engineered in, not bolted on after an audit finding. You get pipelines that actually delete what they're supposed to delete, with the evidence to show it.
This is a capability we deliver for you as a service, not a role we’re hiring for.
How We’d Approach This
A clear, staged plan, not a black box
These are the service-specific steps inside our six-step process.
- 1
Audit where PII actually lives across your systems and where consent and deletion requirements aren't enforced.
- 2
Build a pilot deletion or consent-enforcement pipeline for one data source to prove the approach works.
- 3
Review the pilot's completeness with legal or compliance stakeholders before expanding to remaining systems.
- 4
Roll out PII discovery, minimization, and deletion pipelines across your data infrastructure with audit logging.
What You Get
Deliverables from this engagement
- PII discovery report across your systems
- Automated right-to-be-forgotten and consent-enforcement pipelines
- Data minimization changes implemented in code
- Audit log demonstrating compliance for deletion requests
Six Ways We Could Architect This
Different engagement, different build, pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Read all 6 architectures as text
Lean Fast-Start Architecture
PII Discovery
- Manual Data Source Scan
- Basic PII Inventory List
- Basic Retention Rule
Basic Consent
- Consent Banner
- Consent Record Store
Deletion Pipeline
- User Deletion Request
- Data Subject Request Form
- Identity Verification Step
- Manual Deletion Script
Evidence
- Deletion Confirmation Log
- Manual Privacy Review
- User Confirmation Email
Cloud-Native / Managed Services Architecture
Managed PII Discovery
- Managed Data Classification Scanner
- Cloud PII Catalog
Managed Consent Platform
- Managed Consent Management Platform
- Customer Preference Center
Managed DSR Platform
- Managed Data Subject Request Portal
- Managed Deletion Orchestration Engine
- Regulatory Response SLA Timer
- Automated Evidence Export
Connected Data Stores
- Data Warehouse
- CRM Data Store
- Application Database
- Managed Compliance Dashboard
Event-Driven & Automation-First Architecture
Privacy Event Triggers
- Consent Revocation Event
- Data Subject Request Submission
- Scheduled PII Rescan
Privacy Automation Engine
- Deletion Workflow Orchestrator
- Automated Data Minimization Job
- Automated Identity Verification Bot
Automated Execution Across Systems
- Auto Delete in Warehouse
- Auto Delete in CRM
- Auto Purge from Backups
- Automated Retry on Failed Deletion
Automated Evidence
- Deletion Completion Event
- Automated Audit Trail Write
- Automated User Confirmation
Enterprise-Grade & Compliance-Ready Architecture
Privacy Governance
- Data Protection Officer Oversight
- Legal Basis Registry
- Cross Border Transfer Controls
Governed Data Processing
- Record of Processing Activities
- Data Protection Impact Assessment
- Enterprise Data Flow Map
Enforcement Layer
- Consent Enforcement Engine
- Governed Deletion Pipeline
- Automated Retention Scheduler
Audit and Incident Readiness
- Regulator Ready Audit Trail
- Third Party Processor Audit
- Breach Notification Workflow
- Compliance Certification Report
AI-Augmented, Human-in-the-Loop Architecture
Input Layer
- Automated Codebase Scan
- Database Schema Scan
- Observed Data Flow Logs
AI Privacy Discovery Engine
- AI PII Detection Model
- AI Sensitivity Risk Classifier
- AI Drafted Remediation Plan
Human Approval Checkpoint
- Privacy Engineer Review
- Approve Remediation Plan
Output Layer
- Fix Shipped to Production
- Sent to Legal for Consultation
- Plan Rejected
- Analyst Marks False Positive
Integration-Heavy / Ecosystem-Connected Architecture
Existing Client Systems
- CRM System
- Data Warehouse
- Marketing Automation Platform
- Customer Support Tool
Privacy Engineering Core
- Data Subject Request Engine
- Consent State Sync
Two Way Integrations
- CRM Deletion Connector
- Warehouse Deletion Connector
- Marketing Suppression Connector
- Support Ticket Redaction Connector
Compliance Outputs
- Legal Case Management System
- Compliance Evidence Package
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Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Privacy EngineerMost engagements like this start as a $500–$2,500 pilot, see full pricing.