Overview
Senior AI Architect responsible for designing foundational architectures for Dynata’s semantic layer and AI/algorithm platform.
What you'll do
- Define and evolve technical architecture for the semantic layer, medallion architecture, and enterprise data models.
- Translate business concepts, governance standards, and domain definitions into scalable technical frameworks.
- Establish standards for schema design, metadata management, interoperability, and semantic consistency.
- Design and govern data contract frameworks including schema validation, versioning, lineage, and quality controls.
- Define architectural patterns for feature stores, model inputs/outputs, and model lifecycle management.
- Lead cross-functional architecture discussions and provide implementation guidance.
What you'll need
- 7+ years of experience in data architecture, platform architecture, AI/ML infrastructure, data engineering, or related fields.
- Proven experience designing enterprise-scale semantic layers or data contract architectures.
- Strong understanding of modern lakehouse architectures, medallion patterns, metadata management, and data governance.
- Demonstrated experience architecting ML/AI platforms including feature stores and governance capabilities.
- Experience establishing technical standards supporting analytics, ML, and AI applications at scale.
- Experience translating ambiguous business requirements and governance concepts into technical architectures.
Details
- Reports to the VP, Research & Data Science.
- Location: Remote, U.S.A.
Read the full description and apply on the company’s own careers page.