Posted 4 months ago
Senior Industrial Data Integration Engineer (Digital Thread, OT/IT)
@ Arcadion
Ottawa, Ontario
Overview
Arcadion is hiring a senior contract industrial data integration engineer to build the digital thread linking SAP ERP, Tekla PowerFab, the Dragon Forge MES and machine telemetry into a canonical data model for a digital twin. The work covers design and build of integrations, shop-floor connectivity, streaming pipelines on AWS, and OT/IT convergence. The role requires six or more years of enterprise and industrial integration experience.
Responsibilities:
- Design and build SAP, Tekla PowerFab and MES integrations
- Build shop-floor connectivity via OPC UA, MQTT and PLC/SCADA
- Design canonical ISA-95-aware data model for the digital twin
- Stand up streaming pipelines, data lake and master-data mapping on AWS
- Validate connectivity with equipment vendors before installation
Requirements summary:
- Six or more years of enterprise and industrial integration experience
- Enterprise integration with SAP (IDoc, BAPI, RFC, OData)
- Industrial protocols: OPC UA, MQTT, Modbus, PLC/SCADA
- Kafka, MSK or Kinesis streaming and real-time pipelines
- Demonstrated OT/IT convergence work in a manufacturing plant
Tools & skills
Source and dates
Employer career site / ATS feed · bamboohr
- Employer posting date
- 2026-07-23
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 6+ years |
| Work setting | Office, Plant or factory |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Arcadion
| Field | Value |
|---|---|
| Open jobs on Jobsy | 5 |
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.
Journal
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