OT Data Architect (Birmingham, GB)

Your role

• The IT/OT Data Architect defines and governs how operational technology (OT) and SCADA data is structured, integrated, and managed across the enterprise to support resilient operations, regulatory reporting, and advanced analytics. Operating at practice and enterprise scale, the role ensures industrial data is consistently modelled, secure, and fit for use across real-time operations and cloud-based analytics platforms, aligning OT data domains with our client’s Azure data lake and broader IT/OT convergence strategy. • Own and evolve the enterprise SCADA and OT data architecture, including real time telemetry, historians, events, and operational context across multi site environments. • Design and govern a unified namespace and data model, ensuring consistent asset, tag, signal, and hierarchy standards across OT systems. • Define and assure integration patterns between SCADA, historians, telemetry platforms, and Azure data & analytics services, balancing latency, reliability, and scalability. • Establish OT data governance standards covering data quality, ownership, naming, lineage, retention, and alignment with master and reference data. • Translate operational and regulatory needs into clear data requirements for dashboards, KPIs, analytics, audit, and event replay, providing architectural leadership across IT/OT convergence initiatives. Your profile You’ll bring strong experience working with industrial and operational data in asset intensive, regulated environments, with a solid understanding of how SCADA, historian, telemetry, and event/alarm data are modelled, integrated, and used at scale. You’re comfortable designing cloud based data and analytics solutions—particularly on Microsoft Azure—and understand modern IT/OT convergence patterns, including unified namespace concepts and standards such as OPC UA and MQTT. You combine technical depth with the ability to define pragmatic OT data governance and confidently engage stakeholders across operations, engineering, and leadership. Key strengths • Industrial data modelling and cloud based data integration, with deep knowledge of Azure data platforms • IT/OT convergence, data governance, and stakeholder engagement across operational and enterprise teams

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