OT/IT Integration Architect

The OT/IT Integration Architect is responsible for leading the architecture, integration, and delivery of digital systems that connect operational technology environments with enterprise IT platforms. The role focuses on enabling secure, scalable, and compliant data flows across SCADA, MES, historians, and enterprise platforms using modern industrial integration patterns, unified namespace principles, and cloud enabled architectures.

The position plays a critical role in digital transformation initiatives across manufacturing environments by establishing robust integration standards, governing industrial data models, and ensuring interoperability between plant systems and enterprise applications.

Core Responsibilities

Architecture & Integration Design

• Design and lead end to end OT to IT integration architectures across batch and streaming data environments connecting SCADA, MES, historians, and enterprise or cloud platforms.
• Architect secure and scalable integrations across on premises and cloud ecosystems including Microsoft Azure, Amazon AWS, and Google GCP.
• Apply Unified Namespace principles and industrial architecture standards based on ISA 95 and ISA 88 frameworks.
• Define industrial data models, metadata structures, and governance principles to ensure consistency, traceability, and scalability.

Industrial Platform Connectivity

• Integrate industrial platforms such as Ignition, HiveMQ, and HighByte Intelligence Hub where applicable.
• Design and govern integrations using industrial communication protocols including OPC UA, MQTT, BACnet, and Modbus.
• Develop and oversee APIs and connectors for enterprise systems including SAP, SCADA, MES, LIMS, and historian platforms.
• Experience with Azure Event Hubs and Azure Event Grid is considered an advantage.

Architecture Governance & Enterprise Standards

• Establish and promote application, integration, and infrastructure standards across enterprise and manufacturing environments.
• Lead architecture decisions supporting enterprise IT modernisation and digital transformation programmes in regulated production environments.
• Ensure architecture designs comply with cybersecurity, governance, and regulatory requirements.

Platform Reliability & Data Engineering

• Support deployment and operation of enterprise applications with focus on reliability, compliance, and operational stability.
• Design solutions for scalability, resilience, and cost optimisation across hybrid environments.
• Perform schema design, optimisation, and performance tuning across SQL and NoSQL databases.
• Govern data quality, lineage, security by design, and enterprise data lifecycle principles.

Documentation & Delivery Enablement

• Produce and maintain architecture artefacts including diagrams, process flows, sequence models, and technical specifications.
• Provide technical leadership and guidance to cross functional delivery teams across project lifecycles.

Preferred Industry Experience

• Proven experience in manufacturing, industrial automation, or life sciences environments with strong OT and IT interoperability exposure.
• Familiarity with regulated manufacturing environments and GxP aligned data handling practices.
• Experience with enterprise data governance and controlled industrial data flows is highly desirable.

Soft Skills

• Strong analytical thinking with structured troubleshooting capability.
• Clear and confident communicator able to engage technical and business stakeholders effectively.
• Strong stakeholder management across complex, cross functional environments.
• Proactive, detail oriented, and collaborative working style within agile delivery teams.

Requirements:
Education

• Bachelor’s degree in Engineering, Instrumentation and Control, Computer Science, or equivalent technical qualification.

Ideal Candidate Profile

The ideal candidate combines industrial systems understanding with enterprise architecture capability and can move comfortably between plant floor realities and cloud strategy discussions, which is rare because most people specialise in one and distrust the other on principle.