Data Engineer

Platform Operations & Reliability Own day-to-day operational health of AMP-Processing and AMP-Analytics environments. Monitor platform availability, capacity utilization, performance, and service health. Drive incident management, troubleshooting, root cause analysis, and postmortem reviews. Partner with engineering teams to ensure production workloads meet platform standards and operational requirements. Participate in live-site operations and support critical production incidents. Drive Secure Future Initiative (SFI) and Security 360 (S360) remediation activities across the platform. Partner with security, privacy, compliance, and engineering teams to maintain platform compliance. Monitor security recommendations and vulnerability remediation efforts. Support SDL, TrIP, OSOT, privacy, and governance requirements for hosted workloads. Support onboarding of new projects and engineering teams onto AMP. Build reporting and visibility into platform costs and utilization trends. Support budget

planning and chargeback/showback processes. Improve platform automation, observability, monitoring, and operational tooling. Develop scripts, dashboards, and operational processes that reduce manual effort and improve reliability. Contribute to architecture reviews, platform standards, and operational best practices. Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) 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 2+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Experience supporting production cloud platforms running business-critical workloads. Experience managing operational incidents, outages, escalations, and live-site support activities. Experience implementing or supporting security and compliance initiatives, including vulnerability remediation and security controls. Experience with infrastructure governance, environment provisioning, and access management. Communication skills and ability to collaborate across technical and business organizations. Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments. Experience with CI/CD pipelines, GitHub, Azure DevOps, and automation frameworks. Experience with cost optimization and capacity planning for Azure or Fabric services. Knowledge of observability, monitoring, telemetry, and platform reliability practices.