Job Opportunities API

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 responsibilities Architecture & technical leadership •            Act 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 validation •            Define and validate edge-to-cloud data flow requirements, including: o            Tag list/signals, payload schemas/formats, naming conventions o            Frequency, buffering, store-and-forward, latency/availability targets o            Data quality rules (units, timestamps, limits, gaps, duplicates) o            Create logical & conceptual models for contextualization •            Validate 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: o            Azure (IoT Hub, Event Hubs, Functions, AKS, Data Lake, Databricks/Synapse, Monitor, Key Vault, Private Link) o            AWS (IoT Core, Kinesis, Lambda, EKS, S3, Glue, CloudWatch, Secrets Manager, Greengrass) o            Snowflake (ingestion patterns, data modeling, governance, performance considerations) •            Ensure observability is in place: logging, metrics, tracing, alerting, and operational runbooks. Network, cybersecurity & site readiness •            Coordinate with site IT/networking to ensure: o            Connectivity readiness (routing, DNS, proxy, certificates) o            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 stabilization •            Own 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 platforms •            Contribute to Digit