Principal Data Engineer
Core
Own the data architecture and build the core of the data platform for a large-scale GPU cloud and AI infrastructure company.
Role type
Principal Data Engineer (Architecture & Platform Build)
Builds
Real-time and AI data pipelines, storage layer, transformation and semantic layers, streaming telemetry from GPU compute and cooling systems.
Domain
AI Infrastructure / GPU Cloud / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data architecture design, streaming data engineering, batch processing, Kubernetes, Infrastructure as Code, Data governance, Schema evolution, Latency optimization, Cost optimization, Incident response, Platform operations
Preferred skills
AI/ML data stack experience, GPU telemetry handling, Bare-metal systems, Multi-generational cooling data integration
Technologies
Kubernetes, Infrastructure as Code, Streaming frameworks, Batch processing frameworks, BI tooling
Responsibilities
Define data patterns, technology choices, and technical standards; Build and operate real-time and batch data ingestion pipelines; Manage storage layer, transformation, and semantic layers; Ensure reliability, schema evolution, and latency SLAs; Own deployment, quality, and storage cost of data components; Collaborate on backup, recovery, and incident response.
Seniority
Principal, hands-on IC with strategic influence
