Principal Digital Architect, Onboard & Site Data

What you'll do

• Define data architecture that enables Physical AI and autonomous systems to learn and operate at scale.
• Establish data contracts for reliable information flow between machine sensors and enterprise ingestion platforms.
• Standardize schemas, semantics, timestamps, units, identity, and metadata across the ecosystem.
• Specify requirements for data quality, completeness, latency, and versioning.
• Design technical infrastructure including specific databases, programming languages, and testing approaches.
• Lead the evaluation and deployment of new technologies to enhance digital capabilities.
• Develop architectural roadmaps and blueprints that align with business strategies and objectives.

What we're looking for

• Experience in software engineering and architecture with a focus on data (typically +).
• Ability to design enterprise data domains, canonical models, metadata strategies, and scalable architectures for AI ecosystems (preferred).
• Understanding of data requirements for the AI lifecycle, including training sets, feature engineering, and vector data (preferred).
• Knowledge of machine telemetry, sensor data, digital twins, and edge-to-cloud architectures (preferred).
• Ability to influence senior leaders, define roadmaps, and provide technical direction across multiple organizations (preferred).
• Proficiency in designing technical infrastructure including databases, programming languages, and testing approaches.
• Ability to perform requirements analysis to elicit and record business functionality for software projects.
• Excellent communication skills to mentor others and persuade stakeholders on new technologies or solutions.