Lead Data Architect - Data AI Platform
Core
Designing and governing enterprise data platforms and architectures for AI/ML preparation, RAG grounding, and orchestration within large-scale environments.
Role type
Senior individual contributor Lead Data Architect
Builds
Enterprise data platforms, AI-ready data assets, and scalable RAG architectures
Domain
Healthcare technology, Cloud-native data engineering, AI/ML infrastructure
Deliverable
production ML models | infrastructure
Required skills
Enterprise data architecture, Data modeling (conceptual, logical, physical), Azure Databricks, Lakehouse architectures, Data governance, Metadata management, Data lineage, RAG and vector retrieval architectures, Cross-domain data integration, Unity Catalog, MLflow, Vector Search, Databricks ecosystem, Azure certifications (AZ-305, AI-102, AZ-500)
Preferred skills
Enterprise information models, Business glossaries, Semantic layers, Data Vault, Dimensional modeling, Domain-driven design
Technologies
Azure, Databricks, Unity Catalog, MLflow, Vector Search, Data Vault, Dimensional modeling
Responsibilities
Define and maintain Azure Databricks reference architecture for AI/ML and RAG; Set and enforce platform standards including workspace patterns and cost optimization; Design and govern enterprise-scale data models; Establish canonical data structures and shared business glossaries; Standardize modeling approaches across domains; Ensure data models support AI/ML and analytics use cases; Design secure integration patterns between Databricks and downstream AI services; Partner with business teams to create AI-ready data assets; Govern data lifecycle including metadata standards and schema evolution; Embed quality engineering and validation into AI pipelines; Define production-readiness standards for workflows and monitoring; Mentor and coach architects and engineers; Influence cross-functional teams to align architecture with business outcomes
Seniority
Senior, hands-on IC with strategic influence