Related skills
dbt airflow spark rag streaming📋 Description
- Architect and deliver a unified Data Cloud platform (ingestion, storage, processing, governance)
- Lead AI-native capabilities: RAG, vector retrieval, embeddings, real-time paths
- Define and drive strategy to move up the stack to an AI app/inference platform
- Ensure clear ownership and measurable outcomes across roadmap, adoption, and reliability
- Build and scale a global org (US & India) with single-threaded ownership across services
- Launch cohesive Data Cloud with AI workloads; reduce dev time-to-value
🎯 Requirements
- Cloud-scale data platforms (OLAP, lakehouse, streaming, ML)
- Architectural judgment across storage, processing and query layers
- Integrating Spark, Airflow, dbt into managed cloud services
- AI/ML data pipelines (feature stores, embeddings, RAG)
- Operate in ambiguity and drive multi-quarter execution
- Scale engineering orgs and deliver under constraints
🎁 Benefits
- Cutting-edge tech with upward trajectory and impact
- Career development resources: conferences, training, LinkedIn Learning
- Global benefits: EAP, local meetups, flexible time off
- Equity and Employee Stock Purchase Program
- DigitalOcean is an equal-opportunity employer
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