Principal Data Architect

Overview

Principal Data Architect responsible for defining end-to-end data architecture for AI-driven triage and RCA systems.

What you'll do

• Define end-to-end data architecture for AI-driven Triage and RCA systems.
• Design scalable data lake, metadata, and semantic layer architectures.
• Develop enterprise data models across engineering, validation, manufacturing, reliability, and design domains.
• Architect large-scale knowledge graphs for engineering expertise, failure mechanisms, and historical RCA data.
• Enable AI workflows including GraphRAG, vector databases, and hybrid retrieval systems.
• Build ingestion pipelines and establish data quality, lineage, governance, and security standards.
• Design scalable platform architecture for low-latency AI inference at large record volumes.

What you'll need

• 10+ years of experience in data architecture, data engineering, or analytics platforms.
• Required degree: Bachelor’s or Master’s in Computer Science/Data Engineering/Information Systems or equivalent experience.
• Expertise in data lakes and data warehouses.
• Expertise in knowledge graphs using tools such as Neo4j, ArcadeDB, or TigerGraph.
• Experience with vector databases and graph databases.
• Experience with ETL/ELT pipelines and data modeling/metadata management.
• Knowledge of cloud platforms (Azure, GCP, AWS) and enterprise-scale AI/ML data platforms.

Details

• Location: Hyderabad, Telangana, India.