Principal Data Architect
Core
Design end-to-end data architecture and knowledge graphs to enable AI-driven triage, root cause analysis (RCA), and autonomous engineering workflows.
Role type
Principal Data Architect (AI/ML & Knowledge Graphs)
Builds
Scalable data lakes, semantic layers, knowledge graphs, and data frameworks supporting agentic AI systems.
Domain
Semiconductor manufacturing, engineering analytics, and AI/ML infrastructure.
Deliverable
production ML models
Required skills
Data architecture, Knowledge Graphs, Vector Databases, Graph Databases, ETL/ELT Pipelines, Data Modeling, Metadata Management, Cloud Platforms
Preferred skills
RAG, GraphRAG, Agentic AI, LLM applications, Semiconductor manufacturing analytics
Technologies
Neo4j, ArcadeDB, TigerGraph, Azure, GCP, AWS, Jira, Confluence
Responsibilities
Define end-to-end data architecture for AI-driven Triage and RCA systems; Architect large-scale knowledge graphs representing engineering expertise and failure mechanisms; Build data ingestion pipelines from engineering systems and telemetry platforms; Design data architecture supporting millions of records and low-latency AI inference.
Seniority
Principal, hands-on IC