We’re partnered with a capital-backed operator in the industrial / infrastructure space that’s investing heavily in building a up-to-date 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.

- Experience owning ML/data pipelines end-to-end, including production deployment.

- Solid grounding in statistical modelling and real-world applications.

- A bias toward ownership, pragmatism, and building systems that actually get used.

📌 Senior Data Engineer (Streaming + AI Systems) (Vaughan)
🏢 Leading
📍 Vaughan