Work closely with our Data Science counterparts in definition and driving the goals for a Modern Data Warehouse. Architect and build scalable batch and real-time pipelines that power experimentation, product analytics, and ML/AI training loops. Own data quality, reliability, and observability end-to-end, including defining and operating Service Level Agreements (SLAs)/ Service Level Objectives (SLOs) for critical production datasets. Mentor and grow other engineers, raising the technical bar through design reviews, code reviews, and actionable feedback. Drive cross-functional engineering initiatives that span multiple teams, translating ambiguous requirements into technical designs.
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