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Singtel2 months ago

Data Architect

Hybrid · Singapore, Singapore or US

Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Enterprise

Job Summary

Data Architect to own end-to-end OT data architecture for operational and analytics data within data centre environments. Responsibilities include designing, building, and operating OPC UA-based data ingestion pipelines from BMS, PQMS, PLCs, and sensors; implementing edge and on-premises data pipelines for data centres; managing raw and curated data layers with reliability, consistency, and performance; addressing time-series data challenges; monitoring and optimising production pipelines. Own end-to-end architecture from OT source systems to analytics consumption, standardising OPC UA connectivity, streaming vs batch strategies, buffering and fault-tolerance, and metadata structures. Design analytics architecture to transform OT data into analytics-ready models, maintain data marts/datasets for dashboards, and establish standards for metric calculation, grain, time windows, and KPI usage. Enforce data governance, quality and lineage with clear data ownership, technical metadata, quality rules, and end-to-end traceability; apply access controls and security aligned with OT and enterprise standards. Collaborate with data analysts and stakeholders to translate requirements into scalable analytics solutions and drive continuous improvement of the data platform. Rewards include flexible work arrangements, health benefits, training, and internal mobility opportunities.

Required Qualifications

  • Extensive experience in data architecture, data engineering, analytics engineering, or industrial data platforms
  • Strong hands-on experience with OPC UA (clients, servers, security, certificates, subscriptions)
  • Experience with BMS, PQMS, SCADA, or industrial telemetry systems
  • Strong programming skills in Python and proficiency in SQL
  • Experience with streaming and messaging technologies (e.g., Kafka, MQTT, or equivalent)
  • Solid understanding of time-series data modeling
  • Experience working in on-premises or data centre environments
  • Hands-on experience with data quality management, lineage and metadata management, and metric governance or semantic modeling
  • Ability to balance architecture, delivery, and operational responsibilities
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Singtel

Data Architect

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