Vice President, Data Cloud
Tasks
- Build AI native RAG pipelines
- Build and scale global engineering organization
- Define platform strategy
- Deliver GA grade services with SLAs
- Deliver platform reliability
- Design governance catalog lineage versioning access control
- Develop vector and hybrid retrieval systems
- Drive Data Cloud adoption
- Drive developer experience improvements
- Establish adoption and performance metrics
- Execute ingestion storage processing and query layers
- Implement feature embedding and inference data pipelines
- Implement single threaded ownership across services
- Optimize cloud cost efficiency
- Own Data Cloud architecture end to end
- Partner with product and GTM
Perks/Benefits
- Conference 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
AI Inference | Access Control | Airflow | Batch Processing | CDC | Cloud Computing | DBT | Data Ingestion | Data Lineage | Data Pipelines | Data Processing | Distributed Systems | ELT | ETL | Embeddings | Feature Engineering | Governance | Graph Databases | Hybrid retrieval | Lakehouse | Machine Learning | Metadata catalog | Metrics | OLAP | Object storage | Open Source | RAG | Real Time | Real-time Data | Real-time Data Processing | SLAs | SQL | Search | Spark | Streaming | System Reliability | Vector Databases | Vector Retrieval | Versioning
Education
N/A
Roles
Engineering | Engineering Vice President | President | VP | VP Engineering | Vice President
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