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Related skills

sql dbt airflow spark rag

๐Ÿ“‹ 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

๐ŸŽฏ 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

๐ŸŽ 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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