Senior Data Engineer

Clean Room Platform Engineering Develop scalable platform patterns for clean room data onboarding, audience creation, identity matching, measurement, and activation workflows. Build reusable infrastructure components and secure data exchange mechanisms that support multiple partners, data providers, and clean room use cases. Implement infrastructure supporting ISO-certified and highly regulated environments required for sensitive audience and identity processing initiatives. Design and manage access controls, network isolation, identity management, encryption, auditing, and monitoring capabilities. Partner with Privacy, Security, and Compliance teams to ensure adherence to NGP, privacy-by-design, data governance, audit requirements, and support environment readiness activities, certifications, audits, and compliance reviews. Enable secure infrastructure for identity resolution, audience matching, consent management, opt-out processing, and partner data onboarding. Build platform services supporting first-party, third-party, and partner data ingestion into clean room environments, including infrastructure requirements for commercial identity graph, audience activation, and clean room measurement capabilities. Develop observability, monitoring, logging, alerting, and operational automation for clean room services and data pipelines. Automate deployment, environment provisioning, configuration management, and operational controls. Evaluate emerging clean room technologies, privacy-enhancing technologies (PETs), identity solutions, and secure collaboration frameworks. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. 5+ years in infrastructure, cloud, platform, DevOps, SRE, or data platform engineering, including Azure and enterprise-scale systems. Experience building secure environments for sensitive or regulated data, including identity and access management, security architecture, governance, auditing, and ISO, SOC, privacy, or regulatory controls. Experience with CI/CD, Infrastructure as Code, automated provisioning, observability, and platform operations. Experience designing privacy-safe data collaboration solutions using clean rooms, privacy-enhancing technologies, confidential computing, identity resolution, consent management, audience matching, or measurement.