Principal Industrial AI Data Architect

Role Overview

• Define Industrial Data Architecture for AI
• Design end-to-end data flows from: Edge systems → cloud → AI pipelines → edge inference
• Design Feature Pipelines and Delivery for AI Models
• Integrate Semantic Model with Data Pipelines
• Enable Scalable AI Model Integration
• Design for Multi-Tenant and Product Use Cases

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
• 10+ years of experience in data architecture, industrial data systems, or IoT platforms
• Strong experience with time-series data (e.g., historian systems), data pipelines, and ETL/ELT
• Strong experience with distributed data systems
• Understanding of AI/ML data requirements and feature engineering concepts

Tech Stack

• Cloud
• ETL
• IoT

Benefits

• Health insurance
• Flexible working hours
• Professional development opportunities