Related skills
sql dbt airflow spark rag📋 Description
- Architect and deliver a unified Data Cloud platform (ingestion, storage)
- Lead SQL, analytics, governance, and catalog across services
- Drive AI-native capabilities: RAG, vector retrieval, embeddings
- Define and execute strategy from infra provider to AI platform
- Build and scale a global org (US and India)
- Ensure measurable outcomes: adoption, reliability, velocity
🎯 Requirements
- Proven track record building cloud-scale data platforms (OLAP, lakehouse, streaming)
- Experience integrating Spark, Airflow, dbt into managed cloud services at scale
- Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
- Ability to operate in ambiguity and drive multi-quarter execution
- Proven experience scaling engineering orgs and delivering under constraints
🎁 Benefits
- Career development resources and LinkedIn Learning access
- Well-being benefits and flexible time off
- Competitive benefits across locations
- Equity compensation and Employee Stock Purchase Program
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