Manage the architecture, technical roadmap, and priorities for large-scale data products, pipelines, and reporting systems within gUP. Lead complex architectural constraints across data sources, target interfaces, storage systems, and latency/frequency requirements while building components that scale cleanly. Identify difficult, nebulous technical problems and deliver optimal solutions without needing continual oversight or steering.
Leverage state-of-the-art AI and machine learning techniques to automate workflows and productionize models within large-scale distributed data processing pipelines. Partner directly with Users and Products leadership and cross-functional teams to translate strategic business needs into technical data architecture roadmaps.
Job description provided by Google.
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