IoT Data Architect

SUMMARY

As the IoT Data Architect at Multi Tech, you will lead the design and implementation of data architectures for our expanding IoT offerings, with a primary focus on LoRaWAN solutions and, to a lesser degree, support for cellular products (including LTE Cat 1bis, Cat 4, and emerging 5G pathways). This role is pivotal in evolving Multi Tech's LoRaWAN‑centric solutions such as Conduit gateways, mPower Edge Intelligence, and wireless sensors into intelligent, software‑driven platforms that incorporate AIoT (AI + IoT) capabilities, while ensuring compatibility and hybrid support for cellular backhaul and standalone cellular deployments.

You will drive strategies to enhance data flows across LPWA and cellular networks, enable real‑time insights, and future‑proof our portfolio for emerging trends in edge intelligence, predictive analytics, and sustainable IoT deployments.

Lead the design and implementation of scalable data architectures spanning edge, gateway, cloud, and hybrid layers for Multi Tech's LoRaWAN portfolio, with secondary support for cellular products (e.g., Conduit series with LTE backhaul, embedded cellular modems, and Private LTE/CBRS solutions). Architect end‑to‑end systems that integrate hardware (e.g., LoRaWAN sensors/gateways like Conduit Series, cellular‑enabled Conduit models), edge processing for real‑time decision‑making, and cloud services for advanced analytics and storage, prioritizing LoRaWAN while accommodating cellular connectivity options.

Develop and inject strategies for data management, including standardized schemas, streaming/batch pipelines, security models, and APIs, to enhance Multi Tech's IoT value proposition across primarily LoRaWAN and secondarily cellular deployments. Drive the incorporation of AIoT features, such as edge‑based ML inference for anomaly detection, cloud‑based predictive models, and agentic AI for autonomous operations, with applicability to both LoRaWAN low‑power networks and cellular higher‑bandwidth scenarios.

Collaborate with cross‑functional teams (e.g., embedded software engineers, hardware designers, product managers) to align data architectures with business goals, ensuring interoperability, scalability, and compliance with industry standards (e.g., LoRa Alliance, 3

GPP for cellular, industrial security protocols). Evaluate and recommend tools, frameworks, and platforms (e.g., AWS IoT, Azure IoT, Tensor Flow Lite for edge AI) to optimize data flows, reduce latency, and support low‑power LPWA designs alongside reliable cellular connectivity. Lead small teams or mentor engineers in prototyping proofs‑of‑concept, conducting architecture reviews, and implementing data‑driven enhancements to existing products, with emphasis on LoRaWAN and supplementary cellular integrations.

Anticipate future trends in AIoT, such as digital twins, self‑optimizing networks, and energy‑efficient edge computing, and develop roadmaps to integrate them into Multi Tech offerings, considering hybrid LoRaWAN + cellular use cases. Maintain comprehensive documentation of architecture, strategies, and implementations, including diagrams, data models, and performance metrics for multi‑technology environments. Ensure data architectures adhere to security best practices, privacy regulations (e.g., GDPR, CCPA), and sustainability goals (e.g., minimizing data transmission for battery longevity in LoRaWAN while leveraging cellular for higher throughput needs).

Perform other duties as assigned.