Principal AI Data Readiness Architect
Core
Architecting enterprise data ecosystems to enable AI/ML tools (RAG, agentic workflows) by defining data readiness, governance, quality, and secure access standards.
Role type
Staff/Principal AI Data Architect
Builds
Enterprise data architecture, data contracts, observability frameworks, and RAG-ready infrastructure
Domain
Enterprise Data Engineering & AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Enterprise data architecture, SQL, Python, Data governance, Data quality frameworks, Data lineage, Workflow orchestration (Airflow), CI/CD for data, Vector search/RAG concepts, Cost attribution
Preferred skills
Cross-functional stakeholder alignment, Mentoring engineers, Semantic modeling
Technologies
Airflow, SQL, Python
Responsibilities
Define enterprise AI data architecture vision and reference architectures; Establish data contracts and govern schema evolution; Implement enterprise data quality frameworks and observability dashboards; Standardize ingestion, processing, and orchestration patterns; Drive foundational architecture for RAG and semantic search; Define secure access patterns and enforce security baselines; Architect cost attribution and controls for data consumption.
Seniority
Staff/Principal, hands-on IC with strategy & mentorship