Description
The Privacy Operations Engineer bridges privacy compliance and technical implementation, architecting, building, and maintaining the tooling, automation, and data infrastructure that powers the company's global privacy program.
Key Responsibilities
- Design, build, and maintain automation for privacy operations workflows, including data subject rights fulfillment, data discovery, data mapping, and privacy assessment triggering.
- Build and maintain API and Power Automate integrations between privacy management platforms and internal systems.
- Implement risk-based conditional logic and trigger workflows for privacy assessments.
- Design and maintain automated redaction and exception-flagging pipelines for DSAR fulfillment.
- Build and maintain an automated, event-driven data flow inventory and data mapping pipeline.
- Partner with engineering and product teams to implement privacy-by-design and privacy-by-default controls within products and internal systems.
- Build and maintain KPI dashboards and reporting pipelines that translate raw work-item and automation data into executive-ready privacy program metrics.
Required Qualifications
- 5-7+ years of experience in a data engineering, software engineering, or technical privacy/compliance engineering role.
- Strong proficiency in at least one programming/scripting language (e.g., Python, SQL).
- Hands-on experience building integrations between privacy management platforms and internal systems.
- Experience designing and maintaining automated data discovery and data mapping pipelines.
- Solid understanding of core privacy concepts and global privacy regulations.
Preferred Qualifications
- Experience with privacy management platforms (e.g., OneTrust, BigID, Collibra) and their APIs/connector frameworks.
- CIPT certification.
- Experience with cloud data infrastructure (AWS, Azure, or GCP).
What's in it For You?
- Hybrid Work Model
- Flexibility & Work-Life Balance
- Career Development and Growth
- Industry Competitive Benefits
- Culture
- Social Impact