Principal Industrial AI Data Architect - US Remote
Tasks
- Collaborate across manufacturing semantic edge OT platform engineering and AI data science teams
- Define data interfaces for internal and external model providers
- Define real time batch and model lifecycle data architecture
- Design and govern feature engineering pipelines for training and inference
- Design end to end data flows for AI edge and cloud
- Design multi tenant data pipelines with customer isolation and secure access controls
- Enable scalable onboarding for new tenants and reuse across deployments
- Ensure enterprise standards and platform contract compliance
- Ensure feature consistency between training and runtime
- Implement automated validation to prevent feature drift
- Support model versioning feature compatibility and performance validation
- Translate semantic model definitions into physical data models schemas and pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Batch Analytics | Cloud Data | Cloud Data Platforms | Data Architecture | Data Governance | Data Modeling | Data Pipelines | Data Validation | Data platforms | Distributed Systems | ELT | ETL | Event Driven | Event-driven architecture | Feature Engineering | Industrial IoT | IoT | Model versioning | Multi-tenant | Multi-tenant architecture | Real Time | Real-time Processing | Semantic Modeling | Series data | Streaming Architecture | Tenant architecture | Time Series | Time Series Data | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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