Why pre-screen industrial IoT architects before the technical panel
The architecture diagram is the easy part. The plant has controllers from three decades, a network that was never meant to reach the internet, and an operations team who will disable anything that interrupts production. Architects worth hiring have deployed into that and can say what it saved. A short screen asks about the legacy integration and the measured result.
What actually matters when screening Industrial IoT Solutions Architect candidates
- 01
Technical depth
Probe depth on OPC UA, MQTT Sparkplug B, Modbus TCP and edge stacks like Greengrass or Azure IoT Edge; ask how they segmented networks against the Purdue model.
- 02
Work that shipped
Ask for a deployed fleet: site count, device count, gateway hardware, historian or time-series store used, and measured uptime or latency after go-live.
- 03
Diagnosis under uncertainty
Test how they isolated intermittent data loss across a gateway, cellular link and broker: what telemetry, packet captures or store-and-forward buffers they inspected first.
- 04
Working across the org
Assess how they negotiate with plant OT engineers, control system integrators and IT security over firewall rules, change windows and shutdown constraints.
Pre-screening questions to ask Industrial IoT Solutions Architect candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Deployments in production
3 questions01Can you provide an example of a successful industrial IoT project you led?
Listen forA deployment running in production, with device counts, sites and the outcome it produced stated.
Pilots described as projects, or deployments that never left a single demonstration line.
02Can you describe integrating these solutions in manufacturing environments?
Listen forWork inside a running plant, with production constraints and change windows respected throughout.
Integration described from an enterprise perspective, or no experience of plant change control.
03How do you handle the integration of legacy equipment into new deployments?
Listen forOlder controllers and protocols handled through gateways, without disturbing the control system.
Legacy equipment expected to be replaced, or control systems modified to enable data collection.
Suits the plant
3 questions04Which networks and communication protocols are you most familiar with?
Listen forIndustrial protocols known alongside general networking, with the choice justified by the environment.
Only consumer or enterprise protocols known, or wireless assumed reliable in a plant.
05How do you approach edge computing in these deployments?
Listen forProcessing placed where latency and connectivity require it, with local operation when the link drops.
Everything sent to the cloud, or no local behaviour defined when connectivity is lost.
06What is your approach to interoperability between devices and systems?
Listen forOpen protocols and clear data models used, so the deployment is not locked to one vendor.
Single vendor stacks chosen without evaluating lock-in, or proprietary formats accepted everywhere.
Security designed in
3 questions07How do you ensure the cybersecurity of industrial IoT systems?
Listen forNetwork separation, device authentication and controlled remote access all designed from the start.
Plant and business networks bridged casually, or vendor remote access left permanently open.
08What is your approach to device management and monitoring at scale?
Listen forDevice inventory, health monitoring and credential rotation planned for the full fleet lifetime.
Devices deployed with shared credentials, or no way to update firmware once installed.
09How do you ensure compliance with industry standards and regulation?
Listen forApplicable standards known, with safety system boundaries respected rather than crossed for data.
Safety instrumented systems treated as a data source, or standards unfamiliar for the sector.
Value measured
3 questions10How do you handle data quality and sensor calibration in these systems?
Listen forCalibration drift monitored and data validated, since analysis on bad sensor data produces confident errors.
Sensor readings trusted indefinitely, or calibration treated as a maintenance afterthought.
11Can you discuss your experience with predictive maintenance solutions?
Listen forPredictions validated against actual failures, with maintenance behaviour actually changed as a result.
Alerts generated that nobody acts on, or prediction accuracy never checked against outcomes.
12How do you measure the return on these implementations?
Listen forDowntime, yield or energy improvement measured against a baseline taken before deployment.
Value described as visibility, or no baseline captured before the project started.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Technical depth
35%5Names protocol specifics (Sparkplug birth certificates, OPC UA companion specs) and explains PLC, historian and cloud interfaces without hand waving.
Work that shipped
30%5Describes a live plant rollout with node counts, tag volumes, commissioning timeline and post-deployment availability figures they personally owned.
Diagnosis under uncertainty
20%5Walks through a layered diagnosis, separating PLC scan rate, network jitter and broker backpressure, and cites the evidence that settled it.
Working across the org
15%5Shows concrete give and take with controls teams and security, respecting production downtime rules while still landing the architecture.
The plant has controllers from three decades and a network never meant to be online. A one-way video screen asks about that.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for this role take?
Fifteen minutes across eight to ten questions, answered async. Enough to establish production deployments, test their connectivity and security thinking, and check whether value was measured.
How much plant experience should I expect?
Enough to have worked around production constraints. An architect from a purely enterprise background will design something operations refuses to run during a production window.
Evaluating answers
What is the strongest signal when screening this role?
A measured result from a deployment. Architects who deliver quote downtime avoided or yield improved. Anyone describing dashboards and data lakes has built infrastructure without a return.
How do I judge their security thinking?
Ask how they connect plant equipment safely. Real answers cover segmentation, one-way data flows and vendor access control. Anyone who bridges plant and business networks casually is a serious risk.
Go deeper on this role
Sanat has been hiring since 2012 and watching the recruitment industry change up close ever since, and turned that screening process into Hirevire's video screening platform. LinkedIn
