Principal Data Architect, AI-Ready Data & Annotations

What you'll do

• Define the enterprise framework and architecture standards for Physical AI ready data products.
• Design technical infrastructure including specific databases, programming languages, and testing approaches.
• Establish standards for data product design, metadata, quality, lineage, security, and lifecycle management.
• Design reusable data objects and domain-oriented products to support Physical AI workloads.
• Define data contracts and consumption interfaces to ensure consistent access across the organization.
• Develop architecture standards for integrating labeling, annotation, curation, and evaluation processes.
• Drive consistency across domains while enabling decentralized ownership and accountability.

What we're looking for

• Must be able to work full-time onsite at the Irving, TX office five days a week.
• Must have a progressive career in software engineering and architecture with a focus on data (typically +).
• Must possess knowledge of data architecture processes, techniques, and the ability to design blueprints for integrating data resources.
• Must have knowledge of platform architecture to design processing mechanisms, roadmaps, and supportive interfaces for end-users.
• Must have knowledge of requirements analysis tools and techniques to elicit and record business functionality.
• Must have knowledge of target architecture to develop IT blueprints and roadmaps aligned with business strategies.
• Must have strong understanding of Agile SDLC implementation in public cloud ecosystems, including CI/CD and test automation (preferred).
• Must have excellent communication skills to mentor, coach, and persuade others on new technologies and solutions (preferred).