Principal Architect – Data Platforms
Tasks
- Build systems for data reliability consistency discoverability and ease of use
- Define distributed data platform architecture for real time streaming and batch workloads
- Drive scalability performance and cost efficiency for high throughput low latency systems
- Establish observability SLOs failure handling and production excellence practices
- Implement automation and AI assisted workflows for diagnostics validation and safe remediation
- Lead design of data lifecycle management metadata systems orchestration and developer facing APIs
- Mentor senior engineers and raise engineering and architectural standards
- Partner with engineering teams to influence adoption standardization and platform evolution
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Automation | Batch Processing | Cost Optimization | Data Consistency | Data Lifecycle Management | Data lifecycle | Developer APIs | Distributed Systems | Event Driven | Event-driven architecture | Fault Tolerance | Go | Java | Lifecycle Management | Metadata Management | Observability | Performance Engineering | Production Support | Python | SLOs | Scalability | Streaming | Workflow Orchestration
Education
N/A
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