Key Responsibilities 1. OT Data Engineering &Platform Architecture Design, build, and operate OPC UA-based data ingestion pipelines from BMS, PQMS, PLCs, and sensors. Implement edge and on-prem data pipelines suitable for data centre environments. Manage raw and curated data layers, ensuring reliability, consistency, and performance. Address time-series data challenges, including sampling rates, timestamps, aggregation strategies, and late-arriving data. Monitor, troubleshoot, and optimize production pipelines. 2. Embedded Architecture Ownership(End-to-End) Own and evolve the end-to-end data architecture, from OT source systems to analytics consumption. Define and standardize: i. OPC UA connectivity and subscription patterns ii. Streaming vs batch ingestion strategies iii. Buffering, retry, and fault-tolerance mechanisms Establish architectural standards for: i. Time-series schemas ii. Asset and tag hierarchies iii. Naming conventions and metadata structures Own non-functional requirem...