OT Data Architect/OT Solutions ArchitectIndustrial Data Architect/Lead

Job Summary

We are seeking an experienced OT Data Integration Lead to design, implement, and manage secure Operational Technology (OT) to Information Technology (IT) data integrations for a large-scale digital transformation initiative. This role will bridge industrial control systems and enterprise data platforms, enabling secure, near real-time operational data for analytics, AI/ML, and business intelligence.

The ideal candidate will have extensive experience integrating DCS, PLC, SCADA, and industrial historians into enterprise platforms while designing secure OT-to-IT architectures. Experience in manufacturing, chemical, industrial, or automotive environments is highly preferred.

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Required Skills

• 7+ years of experience in OT Data Integration or Industrial Controls.
• Hands-on experience with:
  • DCS
  • PLC
  • SCADA
  • Honeywell PHD and/or AVEVA PI Historians
• Strong expertise with:
  • OPC UA
  • MQTT (Sparkplug B preferred)
  • Kepware
  • Ignition
  • SQL
  • Python
• Experience designing secure OT-to-IT architectures using DMZ/Broker patterns.
• Strong knowledge of industrial networking and secure data integration.
• Experience building production-grade industrial data pipelines.
• Time-series and event modeling expertise.
• Knowledge of ISA-95, ISA-88, and ISA/IEC 62443.
• Experience with Azure data ingestion technologies such as Event Hubs, Kafka, Databricks, or Microsoft Fabric.

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Key Responsibilities

OT Architecture & Connectivity

• Design and maintain secure OT-to-IT integration architecture.
• Develop enterprise standards for industrial data integration.
• Build secure connectivity using OPC UA, MQTT, brokers, DMZ architectures, and industrial gateways.
• Implement store-and-forward strategies to ensure reliable data movement during network disruptions.
• Standardize onboarding processes, security controls, and integration templates across manufacturing sites.
• Ensure enterprise architecture aligns with future analytics and AI initiatives.

Industrial Data Integration

• Integrate data from:
  • Honeywell PHD
  • AVEVA PI
  • DCS
  • PLC
  • SCADA
  • LIMS
  • Laboratory systems
• Develop asset models, event frames, equipment hierarchies, and industrial data models.
• Build reusable industrial data products for enterprise analytics.
• Publish curated datasets for reporting, APIs, AI, and machine learning platforms.
• Implement signal conditioning, interpolation, dead-banding, validation, calibration, and data quality improvements.

Reliability & Security

• Monitor data freshness, pipeline health, and data quality.
• Build dashboards, alerts, and operational monitoring.
• Define SLAs, SLOs, and data quality metrics.
• Partner with Cybersecurity teams to enforce ISA/IEC 62443 controls.
• Support change management, incident response, outage coordination, and vulnerability remediation.
• Implement lineage tracking and automated data quality validation.

Collaboration & Leadership

• Partner with Plant Controls, Engineering, Operations, Maintenance, HSE, Quality, and IT teams.
• Work with enterprise data engineering teams to deliver trusted OT datasets.
• Coordinate with vendors and system integrators to ensure successful implementations.
• Drive enterprise-wide OT data integration standards and roadmap.

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Required Qualifications

• Minimum 7 years of OT Controls or OT Data Integration experience.
• Experience integrating industrial control systems into enterprise data platforms.
• Hands-on experience with Honeywell PHD and/or AVEVA PI Historians.
• Strong expertise with:
  • OPC UA
  • MQTT
  • Kepware
  • Ignition
  • SQL
  • Python
• Experience implementing secure DMZ/Broker architectures.
• Knowledge of ISA-88, ISA-95, industrial networking, and manufacturing processes.
• Familiarity with SAP S/4HANA integrations and LIMS systems.
• Understanding of industrial cybersecurity principles including least privilege, certificate management, and secrets management.