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Responsibilities
We’re looking for a hands-on Smart Factory Architect who can design and drive delivery of edge-to-cloud industrial data & application architectures across global manufacturing sites. You’ll bridge OT systems (PLC/SCADA/DCS/MES/Historians) with cloud services (Azure/AWS/Snowflake, etc.), ensuring ISA-95 interoperability, robust cybersecurity (Zero Trust), and reliable data flows for use cases like performance analytics, predictive maintenance, and digital twins.You’ll operate as a technical leader who can review architecture, validate implementation plans, unblock delivery, and communicate clearly across engineering, OT, security, networking, and site stakeholders.Key responsibilitiesArchitecture & technical leadershipAct as the technical expert for Smart Factory / Edge architectures in a multi-site, multi-stakeholder environment.Review architectural designs (edge, network, cloud, security, data models) and confirm the feasibility of implementation plans.Align with Cloud Engineers and OT consultants to ensure ISA-95 compliant IT/OT integration and interoperability across layers (L0–L4/5).Validate that all required services are deployed and configured correctly (cloud resources, edge runtime, connectivity, identity, monitoring).Edge-to-cloud integration & data flow validationDefine and validate edge-to-cloud data flow requirements, including:Tag list/signals, payload schemas/formats, naming conventionsFrequency, buffering, store-and-forward, latency/availability targetsData quality rules (units, timestamps, limits, gaps, duplicates)Create logical & conceptual models for contextualizationValidate conceptual and logical modelling of the factory asset hierarchy (site/area/line/cell/equipment/component) and mapping to data streams.Support the implementation of industrial connectivity patterns (e.g., OPC UA, MQTT, Modbus, REST) and integration with OT data sources (historians, SCADA, MES, CMMS, LIMS when relevant).Cloud & platform enablement (Azure/AWS/Snowflake)Drive architecture decisions for ingestion, storage, and analytics using services such as:Azure (IoT Hub, Event Hubs, Functions, AKS, Data Lake, Databricks/Synapse, Monitor, Key Vault, Private Link)AWS (IoT Core, Kinesis, Lambda, EKS, S3, Glue, CloudWatch, Secrets Manager, Greengrass)Snowflake (ingestion patterns, data modeling, governance, performance considerations)Ensure observability is in place: logging, metrics, tracing, alerting, and operational runbooks.Network, cybersecurity & site readinessCoordinate with site IT/networking to ensure:Connectivity readiness (routing, DNS, proxy, certificates)Firewall rules, ports, and secure connectivity patterns (VPN/ExpressRoute/Direct Connect where applicable)Ensure alignment with factory cybersecurity and Zero Trust principles, including segmentation, least privilege, secure remote access, and auditability.Testing, go-live, and operational stabilizationOwn the go-live checklist and drive issue resolution during integration testing and cutover.Support test data ingestion and end-to-end validation, from OT signal extraction through cloud ingestion, storage, and consumption.Validate performance and reliability requirements (throughput, latency, resilience, recovery) and ensure operational handover readiness.Digital Twin & OT platformsContribute to Digital Twin concepts built on IT/OT convergence (asset hierarchy + telemetry + context).Work hands-on with OT / Smart Factory platforms such as AVEVA, Sight Machine, and/or similar (e.g., Ignition, OSIsoft/PI, Tulip, PTC ThingWorx, depending on environment).Required qualifications & experience7+ years of experience in industrial IT/OT, smart factory, or manufacturing digitalization roles, with architect-level ownership of designs and deployments.Proven hands-on delivery experience implementing edge-to-cloud integration in real factory environments.Strong understanding of:ISA-95 (integration patterns and manufacturing system layers)Industrial architectures (OT network segmentation, DMZ patterns, edge gateways)Core OT systems (PLC/SCADA/DCS, historian, MES) and data acquisition methodsCloud architecture experience on Azure and/or AWS (plus familiarity with Snowflake, databricks and modern data platforms).Solid fundamentals in networking (firewalls, VLANs, routing, certificates, proxies) and troubleshooting in restricted environments.knowledge of identity and access management (Azure AD/RBAC/Managed Identities or AWS IAM, secrets, key management).Excellent communication skills, able to lead technical conversations with security, IT, OT, and business stakeholders globally.Technical skill set (must-have)Edge/IIoT protocols & patterns: OPC UA, MQTT, REST APIs, store-and-forward, buffering, offline resilienceData engineering basics: schema design, time-series concepts, streaming ingestion, partitioning, data quality checksCloud security: least privilege, private networking, key management, audit/logging, policy enforcementOperational readiness: integration test planning, go-live governance, incident triage and structured problem-solvingPreferred / nice-to-haveKnowledge of IEC 62443 / OT security frameworks and industrial zero trust patterns.Experience with Kubernetes at edge/cloud (AKS/EKS), IaC (Terraform/Bicep/CloudFormation), and CI/CD.Experience with industrial historians and time-series stacks (e.g., AVEVA/PI-like patterns).Familiarity with data governance (catalog, lineage, access policies) and regulated environments.Experience building or operationalizing Digital Twin solutions (asset model + context + telemetry).
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