About this role
Seniority: Senior (6+ years enterprise + industrial integration; OT/IT convergence essential) Team fit: Owns the integration layer and data model that feed the twin; the highest-risk workstream in the program.
About the role
You will design and build the "digital thread" that connects the systems of record — SAP ERP, Tekla PowerFab, and the shop-floor MES (Dragon Forge) — together with real-time machine telemetry, into a canonical data model the digital twin consumes. For new-build plants you will prove these integrations against sandbox systems and vendor controller emulators ahead of go-live; for existing plants you will connect to live production systems and equipment.
Key responsibilities
• Design and build integrations to SAP ERP (orders, BOM, inventory), Tekla PowerFab (fabrication packages, piece/package tracking), and the MES (work-order execution, machine data).
• Build shop-floor connectivity via OPC UA, MQTT, and PLC/SCADA data acquisition, including edge-to-cloud telemetry.
• Design the canonical / semantic data model that maps enterprise and shop-floor data to twin objects (ISA-95-aware).
• Stand up streaming and event pipelines (Kafka / Amazon MSK, Kinesis), a data lake, and master-data mapping on AWS.
• Define integration and data standards early — including for greenfield systems still being configured — to avoid costly retrofits.
• Work with equipment vendors (including controller emulators / OPC UA test servers) to validate connectivity before installation.
• Partner with the OT/security teams on safe, compliant OT/IT convergence.
Required
• Enterprise integration with SAP (IDoc / BAPI / RFC / OData) and MES/ERP APIs.
• Industrial protocols: OPC UA, MQTT, Modbus; PLC / SCADA data acquisition.
• Streaming / event-driven architecture (Kafka / MSK, Kinesis) and real-time data pipelines.
• Data modeling, ETL/ELT, and data lake design on AWS.
• Demonstrated OT/IT convergence work in a manufacturing or plant environment.
Preferred
• Tekla PowerFab or structural-steel fabrication systems experience.
• Unified Namespace (UNS) architecture and industrial IoT platforms.
• Edge computing (AWS IoT Greengrass, industrial gateways).
• OT cybersecurity and cross-border data-governance awareness.
• Prior work feeding real-time data into a digital twin or 3D visualization layer.
• Steel / metal fabrication or discrete-manufacturing domain knowledge.