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sql dbt airflow spark rag๐ Description
- Architect a unified Data Cloud platform (ingest, storage, processing, governance)
- Lead AI-native capabilities (RAG, vector retrieval, embeddings)
- Move from infra provider to AI app platform; define strategy and execution
- Translate strategy into shipped systems with clear outcomes
- Build and scale a global org (US, India); implement STO across services
- Partner with Product, GTM, and Platform Eng on roadmaps
๐ฏ Requirements
- Proven cloud-scale data platform experience (OLAP, lakehouse, streaming)
- Experience integrating Spark, Airflow, dbt into managed cloud services
- Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
- Ability to operate in ambiguity and drive multi-quarter execution with measurable outcomes
- Proven experience scaling engineering organizations and delivering under constraints
- Strong architectural judgment across storage, processing, and query layers
๐ Benefits
- Career development resources and LinkedIn Learning access
- Well-being programs and flexible time off
- Equity grants and Employee Stock Purchase Program
- Global benefits with local adaptations including EAP and meetups
- Conference/training reimbursement and growth opportunities
- Inclusive, equal-opportunity employer with supportive culture
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