Vice President, Data Cloud
San Francisco
R
USD 279K-349K Executive-level Full Time
Tasks
- Build RAG pipelines knowledgebase as a service
- Build object OLAP vector and graph storage
- Create feature embedding and inference pipelines
- Define roadmap and execute multi quarter delivery
- Deliver SQL hybrid search and RAG query systems
- Deliver unified data ingestion storage processing query analytics platform
- Develop ELT pipelines and real time batch processing
- Drive platform reliability and developer experience
- Establish governance catalog lineage versioning access control
- Implement ingestion connectors CDC streaming
- Implement vector and hybrid retrieval systems
- Launch GA grade services with SLAs and cost efficiency
- Own data cloud platform architecture end to end
- Set adoption retention ARPU performance reliability metrics
Perks/Benefits
- Conference reimbursement
- Employee assistance program
- Employee stock purchase program
- Equity compensation
- Flexible time off
- Local Employee Meetups
- Remote work
- Training reimbursement
Skills/Tech-stack
Access Control | Batch Processing | Change Data Capture | Cloud Computing | Cost Optimization | Data Capture | Data Engineering | Data Governance | Data Ingestion | Data Lineage | Distributed Systems | ELT | Embeddings | Feature Stores | Graph Databases | Hybrid search | Inference Pipelines | OLAP | Object storage | Operational Metrics | Performance Engineering | RAG | Real Time | Real-time Processing | Reliability Engineering | Retrieval-Augmented Generation | SLAs | SQL | Site Reliability | Site Reliability Engineering | Streaming Data | System Architecture | Time processing | Vector Databases
Education
N/A
Roles
Data Engineering | Data Engineering Manager | Engineering | Engineering Manager | Manager | VP | VP Engineering
Regions
Countries
States
Language: en
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