Data Cloud Architect - Autonomous Driving Connected Car Platform - Mercedes-Benz R&D
Stuttgart Region Germany
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Summary
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Rockstar
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Top School
Xin Cai is a Data Cloud Architect with 9 years of experience building Azure-based lakehouse and real-time data platforms for autonomous driving and connected car services at Mercedes‑Benz R&D. He leads architecture and product efforts across cloud-to-vehicle data pipelines, HD/SD map backends, CI/CD and container strategies, and monetizable connected-service analytics using Databricks, Delta Lake and Azure Data Factory. Previously a staff engineer at IBM R&D, he designed serverless and high-availability cloud components for Bluemix and orchestrator platforms, bringing strong SRE and integration expertise. Xin combines hands-on implementation with cross-continental team leadership and vendor management, having coordinated 40-person teams across the U.S., Germany and China for cloud migration and platform builds. Practical yet research-minded, he has roots in model-driven systems from Siemens and NEC and a Master’s in Computer Science, which informs his focus on robust, automated data governance and closed-loop vehicle analytics.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Educational Technology (Computer Science related), Bachelor's degree, Educational Technology (Computer Science related) at Northeast Petroluem University
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Technische Universität Clausthal
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Xin Cai - Data Cloud Architect - Autonomous Driving Connected Car Platform - Mercedes-Benz R&D