Vice President, Data Cloud
Tasks
- Build global engineering organization
- Build hybrid search and RAG
- Build storage layers for object OLAP vector and graph
- Build vector and hybrid retrieval systems
- Create feature and embedding pipelines
- Define adoption and reliability metrics
- Deliver GA grade services with SLAs
- Deliver SQL query and analytics
- Deliver knowledgebase as a service
- Deliver unified data cloud platform
- Develop ELT pipelines
- Drive platform reliability
- Drive roadmap execution
- Enable data ingestion
- Enable real time inference data paths
- Establish data governance catalog lineage versioning access control
- Implement CDC and streaming
- Implement real-time and batch processing
- Implement single threaded ownership across services
- Improve developer experience
- Optimize cost and simplicity
- Own data cloud architecture
- Partner with product and GTM
Perks/Benefits
- Bonus eligibility
- Conference reimbursement
- Education reimbursement
- Employee assistance program
- Employee stock purchase program
- Equity compensation
- Flexible time off
- LinkedIn Learning access
- Local Employee Meetups
- Remote work
- Training reimbursement
Skills/Tech-stack
Access Control | Architecture | Batch Processing | CDC | Cost Optimization | Data Catalog | Data Governance | Data Ingestion | Data Lineage | Developer experience | Distributed Systems | ELT | Embeddings | Feature Engineering | Graph Databases | Hybrid search | Inference | Knowledge Management | Metrics | OLAP | Object storage | Platform reliability | RAG | Real Time | Real-time Processing | SLAs | SQL | Streaming | Time processing | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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