At a Glance
- Tasks: Lead the design of real-time data systems and scalable architecture for impactful projects.
- Company: Dynamic capital-backed operator in the industrial/infrastructure space.
- Benefits: Competitive salary up to $150,000 CAD, bonuses, and perks.
- Other info: Join a lean team focused on execution and innovation in a modern tech environment.
- Why this job: True ownership of data platforms with direct impact on performance and strategy.
- Qualifications: Experience in building data platforms and strong system design skills.
The predicted salary is between 123750 - 151250 $ per year.
Greater Toronto Area, Canada | Posted on 06/19/2026
Salary Up to $150,000 CAD + Bonus + Perks
We’re partnered with a capital-backed operator in the industrial/infrastructure space that’s investing heavily in building a modern data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data systems and scalable architecture supporting both operational intelligence and predictive modelling.
This is a high-ownership role at the intersection of data engineering, applied statistics, and production AI. You’ll operate as a senior individual contributor with end-to-end responsibility across pipelines, platform design, and ML enablement.
Why This Role Is Compelling
- True ownership of the data platform: architecture, pipelines, and production ML systems.
- Direct impact on operational performance and financial strategy, not just analytics.
- Senior-level autonomy with influence over technical direction and tooling choices.
- Lean, execution-focused team where senior engineers build and ship complete systems.
- Long-term stability paired with a builder environment and modern stack.
Scope and Responsibilities
- Architect and operate real-time and batch data pipelines (Kafka, Spark, AWS ecosystem).
- Lead the evolution of a scalable lakehouse architecture for analytics and ML workloads.
- Design and productionize end-to-end ML pipelines, including feature engineering and real-time inference.
- Apply statistical methods (time-series, regression, anomaly detection) to high-impact business problems.
- Partner with stakeholders across operations, finance, and product to translate complex requirements into robust systems.
- Own infrastructure design using IaC (Terraform or equivalent) to ensure reproducibility and scale.
- Drive performance, reliability, and observability across data systems.
- Evaluate and introduce new tools and patterns across data engineering and applied AI.
Requirements Tech Environment
- AWS (Glue, Lambda, ECS, S3, and related services)
- Apache Spark + lakehouse frameworks (Delta or equivalent)
- Kafka / streaming architectures
- Terraform (Infrastructure as Code)
What They’re Looking For
- Proven experience building and scaling data platforms in production environments.
- Deep expertise in streaming systems and distributed data processing.
- Strong system design skills with the ability to operate at both architecture and implementation levels.
- Solid grounding in statistical modelling and real-world applications.
- A bias toward ownership, pragmatism, and building systems that actually get used.
Full time in Toronto employer: Calliere Group
As a leading Canadian manufacturer, we pride ourselves on fostering a collaborative and innovative work culture in Saint-Henri. Our commitment to employee growth is evident through continuous learning opportunities and the chance to engage with diverse teams across the organization. Join us to be part of a dynamic environment where your contributions directly impact our consumer business and drive meaningful change.
