Principal Digital Architect, Physical AI & Data Platform

What you'll do

• Define enterprise-wide architecture for streaming, batch, event-driven, and Physical AI workloads.
• Establish scalable patterns for data ingestion, curation, storage, and lifecycle management.
• Design technical infrastructure including specific databases, programming languages, and testing approaches.
• Develop platform guardrails for observability, performance monitoring, security, and disaster recovery.
• Evaluate emerging technologies to recommend strategies for future business and Physical AI needs.
• Create canonical data models, metadata strategies, and scalable architectures for autonomous ecosystems.
• Design cloud and on-premise data platforms to handle massive volumes of telemetry and sensor data.
• Develop IT blueprints and roadmaps that align technical architecture with corporate business objectives.

What we're looking for

• Must have a progressive career in software engineering and architecture with a focus on data (typically +).
• Ability to design enterprise-wide architectures for streaming, batch, event-driven, analytics, and Physical AI workloads.
• Expertise in designing technical infrastructure including databases, programming languages, and testing approaches.
• Proficiency in defining patterns for data ingestion, transformation, storage, and lifecycle management.
• Ability to develop platform guardrails for observability, performance monitoring, security, and disaster recovery.
• Strong understanding of Agile SDLC implementation in public cloud ecosystems, including CI/CD and resource optimization.
• Demonstrated ability to define enterprise data domains, canonical models, and metadata strategies (preferred).
• Deep understanding of AI model development requirements, including training data, feature engineering, and vector data (preferred).