The Azure OT Architect with LoRaWAN will play a critical role in designing scalable, secure, and intelligent edge-to-cloud architectures that bridge industrial Operational Technology (OT) systems with modern cloud platforms. This role involves architecting LoRaWAN sensor networks, implementing Azure OT PaaS services, defining time-series data models, and leading technical integration across complex industrial environments.
Key Responsibilities:
- Architect and deliver end-to-end OT solutions integrating edge gateways, sensors, and cloud platforms
- Design and implement LoRaWAN-based sensor networks for industrial telemetry and control
- Lead development of Azure OT PaaS solutions (IoT Hub, Time Series Insights, Digital Twins, Data Explorer)
- Define data models and ingestion pipelines for time-series sensor data
- Collaborate with cross-functional teams to integrate OT systems with enterprise IT/cloud environments
- Establish security and compliance frameworks for OT and edge deployments
- Provide technical leadership during client workshops, engagements, and solution reviews
Required Skills:
- Proven experience in OT systems architecture and industrial automation
- Hands-on expertise with Edge Gateways (Azure IoT Edge, Cisco, Siemens)
- Strong understanding of LoRaWAN protocols and deployment approaches
- Deep knowledge of Azure OT services (IoT Hub, Time Series Insights, Digital Twins)
- Experience with time-series databases and sensor analytics
- Familiarity with industrial protocols: Modbus, OPC UA, MQTT
- Strong communication and stakeholder management skills
- Experience with Docker, Kubernetes, and container orchestration
- Experience with machine learning and advanced analytics
- Experience with CI/CD pipelines and automated testing
- Experience with data integration, data warehousing, and big data technologies
- Experience with IoT solutions and edge computing
Preferred Skills:
- Knowledge of enterprise architecture frameworks
- Azure certifications (Azure IoT Developer, Solutions Architect)
- Experience in manufacturing, energy, utilities, or smart infrastructure domains
Education:
Bachelor’s or Master’s degree in Engineering, Computer Science, or related field
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