Senior IoT / IIoT Solutions Architect

Senior IoT / IIoT Solutions Architect

Fairborn, OH

Our client is a trusted Prime Contractor to the U.S. Department of Defense (DoD), delivering advanced technology-enabled solutions across engineering, manufacturing, product quality, and supply chain disciplines. As a result of continued growth, they are looking for a Senior IoT / IIoT Solutions Architect to join their team.

Position Summary

We are seeking a Senior IoT / IIoT Solutions Architect to lead the architecture, design, and technical strategy for connected industrial environments, smart manufacturing, and Industry 4.0 initiatives.

This role will bridge OT, IT, IoT, cloud, data, automation, and manufacturing systems to develop scalable digital-factory solutions that improve operational visibility, productivity, quality, reliability, and decision-making.

The ideal candidate brings strong experience designing enterprise-scale Industrial IoT and Digital Factory architectures, integrating industrial equipment and automation systems with modern data and cloud platforms, and translating business and manufacturing requirements into secure, scalable technical solutions.

Key Responsibilities

• Define and lead IoT/IIoT, Industry 4.0, and Digital Factory architecture strategies and roadmaps.
• Design end-to-end architectures spanning sensors, PLCs, SCADA, DCS, MES, historians, edge computing, industrial networks, cloud platforms, APIs, data platforms, and enterprise applications.
• Develop reference architectures, solution blueprints, technology standards, and architecture patterns for smart manufacturing.
• Lead OT/IT convergence initiatives and establish scalable integration patterns between manufacturing operations and enterprise systems.
• Evaluate and recommend IoT, edge, cloud, data, analytics, and industrial automation technologies.
• Architect secure industrial connectivity and data flows from the plant floor to edge and cloud environments.
• Partner with manufacturing, engineering, operations, IT, cybersecurity, data, and business teams to define requirements and technical solutions.
• Lead architecture reviews and provide technical direction to engineers, developers, automation specialists, and implementation teams.
• Develop solutions for real-time monitoring, predictive maintenance, digital quality, OEE, asset performance, energy optimization, traceability, and operational intelligence.
• Establish standards for device connectivity, data modeling, event processing, APIs, integration, identity, security, and observability.
• Support development of digital twins, AI/ML-enabled manufacturing solutions, advanced analytics, and data-driven operational applications.
• Ensure solutions are designed for scalability, availability, maintainability, interoperability, and cybersecurity.
• Create architecture documentation, diagrams, technical specifications, technology assessments, and implementation roadmaps.
• Provide technical leadership across multiple plants, manufacturing sites, or enterprise programs.

Technical Areas

Experience across several of the following is highly desirable:

Industrial / OT

• PLCs and industrial controls
• SCADA / HMI
• DCS
• Industrial networks and protocols
• OPC UA / OPC DA
• Modbus, MQTT, Ethernet/IP, PROFINET
• Industrial historians
• MES / MOM
• CMMS / EAM
• ISA-95 and ISA-88 concepts

IoT / Edge

• Industrial IoT platforms
• Edge computing
• IoT gateways
• Device management
• Real-time telemetry
• Event-driven architectures
• Time-series data
• Digital twins

Cloud / Data

• AWS, Azure, or Google Cloud
• IoT cloud services
• Data lakes / lakehouses
• Streaming and event platforms
• APIs and microservices
• SQL / NoSQL databases
• Data integration and enterprise data platforms

Industry 4.0

• Smart Factory
• Digital Manufacturing
• Connected Worker
• Predictive Maintenance
• OEE / production analytics
• Digital Quality
• Asset Performance Management
• Manufacturing intelligence
• AI/ML applications in manufacturing

Cybersecurity

• Industrial cybersecurity
• Network segmentation
• Zero Trust concepts
• Identity and access management
• Secure remote access
• IEC 62443 / NIST cybersecurity frameworks

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Automation, Manufacturing Engineering, Information Technology, or a related field.
• 8+ years of experience in IoT, IIoT, industrial automation, manufacturing technology, enterprise architecture, or related disciplines.
• Demonstrated experience designing and implementing enterprise or plant-level IoT/IIoT solutions.
• Strong understanding of both OT and IT environments and the ability to architect solutions across both domains.
• Experience with cloud, edge computing, industrial connectivity, data integration, and enterprise systems.
• Strong architecture, systems-integration, and technical leadership skills.
• Ability to communicate complex technical concepts to both engineering/technical teams and business stakeholders.
• Experience leading architecture decisions across complex, multi-system environments.

Preferred Qualifications

• Industry 4.0 / Smart Factory transformation experience.
• Experience with multi-site or global manufacturing environments.
• Experience integrating MES, SCADA, PLCs, historians, ERP, cloud, and enterprise data platforms.
• Knowledge of ISA-95, ISA-88, IEC 62443, NIST, or related industrial standards.
• Cloud architecture certification such as AWS, Azure, or Google Cloud.
• TOGAF or other enterprise architecture certification.
• Experience with digital twins, AI/ML, advanced analytics, or computer vision in manufacturing.
• Experience developing enterprise IoT reference architectures and technology standards.

Leadership Expectations

The Senior IoT / IIoT Solutions Architect is expected to operate as a senior technical authority who can:

• Establish architectural vision and technical direction.
• Influence technology strategy and investment decisions.
• Lead cross-functional architecture and design sessions.
• Mentor engineers and technical teams.
• Challenge existing solutions and identify opportunities for modernization.
• Balance business value, technical feasibility, cybersecurity, cost, scalability, and operational risk.
• Drive standardization across plants and manufacturing environments.

Success in This Role

Success will be measured by the ability to deliver secure, scalable, reusable, and business-aligned digital-factory architectures that connect industrial operations with enterprise technology and enable measurable improvements in manufacturing performance.

The successful candidate will help establish the technical foundation for the organization's Industry 4.0, Industrial IoT, smart manufacturing, and digital transformation strategy.