Global Head of Data Platform Engineering, SVP
Tasks
- Architect cloud and hybrid data platforms
- Automate platform operations
- Build batch and streaming data processing
- Deliver platform features using Agile
- Design and build enterprise data platforms
- Design data ingestion and integration pipelines
- Develop self-service developer platforms
- Drive observability using metrics logs and tracing
- Enable platform interoperability across environments
- Enable reusable data products
- Ensure security and operational excellence through collaboration
- Implement SRE practices
- Implement enterprise data architecture
- Integrate AI-ready data pipelines
- Lead data platform modernization and migration
- Lead incident management and postmortems
- Manage SLAs SLOs and error budgets
- Manage product roadmaps and backlog
- Operate enterprise data platforms
- Provide data access and serving layers
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Employee networks
- Life insurance
- Long-term disability insurance
- Medical insurance
- Paid time off
- Paid volunteer days
- Vision insurance
Skills/Tech-stack
APIs | Agile delivery | Architecture roadmap | Automation | Backlog Management | Batch Processing | Cloud Computing | Cost Optimization | Data Ingestion | Data Lake | Data Modeling | Data Warehouse | Data integration | Data platform | Developer experience | Disaster Recovery | Disaster Recovery Planning | Distributed Systems | Distributed tracing | Elasticity | Embeddings | Error Budgets | Feature Engineering | Hybrid Cloud | Incident Management | Lakehouse | Latency optimization | Logging | Metrics | Observability | Performance Engineering | Postmortems | Product Management | Recovery Planning | SDKs | SLA | SLO | Scalability | Sprint Planning | Stream processing | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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