Senior / Staff Data Engineer | AI, Data Platforms & Data Products

We are seeking an accomplished Senior or Staff Data Engineer to help build and scale a modern data engineering function within a fast-growing technology company. This role is ideal for a hands-on engineer who has built data platforms from the ground up and wants to shape the architecture, infrastructure, and AI-powered products that drive business growth. You will work closely with technical leadership, taking ownership across the data stack, from cloud infrastructure and distributed systems to intelligent analytics and customer-facing data products. Your work will support reliable, scalable data capabilities that deliver measurable commercial and operational value. You will have significant influence over technical strategy, engineering standards, and emerging AI initiatives. This is a fully remote opportunity for candidates based in Canada who are comfortable working in a fast-paced environment where autonomy, experimentation, and end-to-end ownership are essential.

• At least 5 years of professional engineering experience, with demonstrated achievements and technical ownership valued more highly than tenure alone.

• Proven experience building data infrastructure, platforms, or data products from scratch, ideally as an early engineering hire or within a startup or scale-up environment.

• Strong foundations in distributed systems, platform engineering, software engineering, or modern data engineering.

• Hands-on experience with cloud infrastructure, particularly AWS or an equivalent cloud platform.

• Familiarity with modern data technologies such as Snowflake, Databricks, Spark, Airflow, and dbt.

• Experience designing streaming or event-driven architectures and building scalable, reliable production systems.

• Demonstrated ownership of production environments, including monitoring, observability, troubleshooting, incident response, and on-call responsibilities.

• Experience with AI and large language models in data platforms, including AI-assisted analytics, semantic layers, AI data assistants, or natural-language interfaces, is highly desirable.

• Experience developing self-service analytics capabilities, embedded analytics, or customer-facing data products.

• A track record of delivering measurable technical or commercial impact, such as generating revenue, reducing costs, improving customer experience, or increasing operational efficiency.

• For Staff-level candidates, the ability to lead architecture decisions, influence technical direction, establish engineering practices, and mentor other engineers.

• Strong product thinking, commercial awareness, analytical problem-solving skills, and the ability to communicate and justify complex technical decisions.

• Comfortable operating autonomously in ambiguous environments, identifying important problems, designing solutions, and taking responsibility for outcomes from conception through production.

• A background in software engineering, data engineering, machine learning, or quantitative disciplines may be particularly relevant.

• Work authorization: Must already have unrestricted authorization to work in Canada. Visa sponsorship and visa transfer are not available.