Related skills
sql dbt airflow spark rag📋 Description
- Architect and deliver a unified Data Cloud platform.
- Lead ingestion, storage, processing, and analytics components.
- Drive AI-native features for RAG and embeddings.
- Define success metrics: adoption, reliability, ARPU.
- Build a high-performing global data org (US and India).
- Ensure governance, security, and cost efficiency.
🎯 Requirements
- Lead architecture across storage, processing, and query layers.
- Integrate open-source stacks (Spark, Airflow, dbt) at scale.
- Build AI/ML data pipelines (feature stores, embeddings, RAG).
- Drive multi-quarter execution with measurable outcomes.
- Scale engineering orgs under real-world constraints.
- Partner with Product, GTM, and Platform Eng.
🎁 Benefits
- Remote role with global teams.
- Career development and training resources.
- Competitive pay with equity and bonus.
- Flexible time off and comprehensive benefits.
- Access to learning platforms and conferences.
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