Senior Sensor Fusion & Data Architecture Lead – Lift Program

AtkinsRéalis

Toronto, Ontario, Canada
Base: $100,200 - $131,700 annually; bonus/equity: ...
Hybrid
Ot and industrial iiot architectures
Edge computing and cloud architectures
Event-driven architecture (eda) design
This role serves as the authoritative lead for operational and engineering data across the LIFT Program, defining how data is produced, classified, transported, and consumed for one of Canada's most important airport projects

Job Summary

  • This role serves as the authoritative lead for operational and engineering data across the LIFT Program, defining how data is produced, classified, transported, and consumed for one of Canada's most important airport projects.
  • The successful candidate will bridge engineering teams, OT vendors, and analytics platforms to ensure data strategies align with the airport's event-driven and digital twin vision for the next 20+ years.
  • AtkinsRéalis offers competitive compensation ranging from $100,200 to $131,700 annually, along with flexible benefits, professional development opportunities, and a hybrid working culture.

Matching Summary

This role serves as the authoritative lead for operational and engineering data across the LIFT Program, defining how data is produced, classified, transported, and consumed for one of Canada's most important airport projects.

Salary

Base: $100,200 - $131,700 annually; Bonus/Equity: Not specified; Benefits: Competitive compensation, flexible benefits tailored to health and lifestyle, training opportunities, and generous time-off policies

Skills & Requirements

Must-have

  • OT and Industrial IIoT architectures
  • Edge computing and cloud architectures
  • Event-Driven Architecture (EDA) design
  • Program of Requirements (PoR) development
  • Python and SQL capabilities
  • Spatiotemporal and time-series data experience

Nice-to-have

  • Digital twin and simulation modeling
  • Transportation or aviation domain expertise
  • Vendor negotiation and data access governance
  • Applied data science in operational environments
  • Agent-based modelling experience

Key Requirements

  • Hands-on experience with OT/IoT/industrial asset systems
  • Strong Python and SQL capabilities
  • Experience with spatiotemporal, sensor, or time-series data
  • Enterprise data and systems architecture in complex environments
  • Real-time and streaming data architecture experience

Work Rights

Not specified

Tailored Resume

Cover Letter