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sql dbt airflow spark rag๐ Description
- Architect and deliver a unified Data Cloud platform
- Own strategy and execution for performance, reliability, and adoption
- Lead global org (US and India) with STO ownership
- Partner with Product, GTM, and Platform Eng
- Deliver GA-grade services with SLAs and cost efficiency
- Drive adoption and measurable business impact
๐ฏ Requirements
- Proven cloud-scale data platform experience (OLAP, lakehouse, streaming)
- Integrate Spark, Airflow, dbt into managed cloud services
- Experience with AI/ML pipelines (feature stores, embeddings, RAG)
- Strong decision-making in ambiguity; multi-quarter execution
- Scale engineering orgs and deliver under real-world constraints
- Architectural judgment across storage, processing, and query layers
๐ Benefits
- Career development resources and conferences support
- LinkedIn Learning access for ongoing growth
- Global benefits and flexible time off policy
- Equity grants and Employee Stock Purchase Program
- Equal-opportunity employer
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