Privacy Operations Engineer

Thomson Reuters

. Architect, build, and maintain tooling, automation, and data infrastructure for the global privacy program .

Posted 10/26/2026full-timeToronto • CanadaMid-LevelSenior💰 CA$79,000 - CA$129,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining data infrastructure and automation for privacy programs, with a strong focus on API integrations, data mapping, and compliance with global privacy regulations. Proficient in implementing risk-based workflows and designing automated processes for data subject rights fulfillment.

Highest-signal resume keywords

Data EngineeringAPI IntegrationsPython ProgrammingPrivacy Management PlatformsGlobal Privacy Regulations

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data MappingAutomated WorkflowsRisk-Based Conditional LogicData DiscoveryData RetentionReporting PipelinesTroubleshootingSystems DesignEvent-Driven ArchitecturesAutomated Redaction

Soft Skills

Strong CommunicationCollaborationProblem-Solving

Tools & Technologies

Power AutomateOneTrustBigIDCollibraAWS MacieAzure PurviewPower BIADO Analytics

Certifications & Qualifications

CIPT Certification

Industry Keywords

Data Subject RightsPrivacy Impact AssessmentsGDPRCCPAPIPEDAData MinimizationPurpose Limitation

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Architect, build, and maintain tooling, automation, and data infrastructure for the global privacy program
Design and maintain automation for data subject rights fulfillment, data discovery, data mapping, and privacy assessment triggering
Build API and Power Automate integrations between privacy management platforms and internal systems
Implement risk-based conditional logic and trigger workflows for PIAs, DPIAs, and TIAs
Design automated redaction and exception-flagging pipelines with mandatory human review and audit logging
Build automated, event-driven data flow inventories and data mapping pipelines feeding ROPA records
Integrate data discovery and classification tools into ROPA infrastructure
Implement drift detection reconciling ROPA records with discovery and mapping outputs
Support privacy impact assessments through data flow diagrams and system/architecture review
Partner with engineering and product teams on privacy-by-design and privacy-by-default controls
Implement data retention and deletion requirements across structured and unstructured data
Advise engineering teams on privacy and data protection architecture for products and features
Build KPI dashboards and reporting pipelines for executive-ready privacy program metrics
Monitor privacy tooling and automated process health and troubleshoot integration or data-quality issues
Maintain governance over report definitions and automation/trigger rule changes
Design automated DSAR routing, data-owner mapping, SLA tracking, and deadline escalation
Build scalable DSAR automation and surge-capacity mechanisms for volume spikes
Automate assessment intake quality through required fields, real-time validation, and reminders

Requirements

What you’ll need

5-7+ years of experience in a data engineering, software engineering, or technical privacy/compliance engineering role
Experience ideally supporting privacy or compliance operations at a global or multinational organization
Strong proficiency in at least one programming/scripting language, such as Python or SQL
Experience building and maintaining API integrations and automated workflows, such as Power Automate, custom scripts, or middleware
Hands-on experience integrating privacy management platforms such as OneTrust, BigID, or Collibra with internal systems
Experience with field mapping, assignment logic, bi-directional status synchronization, error handling, and logging
Experience designing and maintaining automated data discovery and data mapping pipelines across structured and unstructured data sources
Experience with AWS Macie, Azure Purview, database crawlers, or similar tools
Experience implementing risk-based conditional logic and trigger workflows for PIA/DPIA/TIA assessments
Experience building reporting and analytics pipelines, such as ADO Analytics or Power BI
Solid understanding of privacy concepts including data minimization, purpose limitation, data subject rights, and retention
Understanding of global privacy regulations including UK GDPR/EU GDPR, CCPA/CPRA, PIPEDA, or similar
Experience with structured and unstructured data across multiple systems and cloud environments
Strong systems-design thinking
Strong troubleshooting and debugging skills across integrated systems
Preferred: experience with privacy management platforms and their APIs/connector frameworks
Preferred: CIPT certification
Preferred: experience with AWS, Azure, or GCP cloud data infrastructure
Preferred: experience building automated redaction/exception-flagging pipelines with human-review checkpoints
Preferred: experience supporting DSAR automation at scale
Preferred: experience designing event-driven data mapping architectures integrated with CMDB/asset inventory or cloud discovery tooling

Benefits

Comp & perks

Flexible hybrid working environment for office-based roles
Flexible work arrangements, including work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and ESG initiatives
Annual Bonus may be available based on enterprise and individual performance