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

📋 Description

• Design, build, and evolve modern cloud-based data infrastructure and scalable data platforms from
• Develop reliable data pipelines, distributed systems, and event-driven architectures that support
• Work across technologies such as AWS, Snowflake, Databricks, Spark, Airflow, and dbt to create
• Develop AI-enabled data capabilities, including LLM-powered workflows, agentic data solutions
• Build self-service analytics platforms and customer-facing or embedded data products that improve
• Address complex challenges involving data streaming, governance, metadata management, and knowledge

🎯 Requirements

• At least 5 years of professional engineering experience, with demonstrated achievements and
• Proven experience building data infrastructure, platforms, or data products from scratch, ideally
• Strong foundations in distributed systems, platform engineering, software engineering, or modern
• 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

🎁 Benefits

• Competitive salary aligned with experience and seniority; the specific salary range has not been
• Equity participation, offering an opportunity to share in the company’s growth.
• Fully remote work for eligible candidates based in Canada.
• Significant ownership and influence over data platform architecture, engineering strategy, and
• The opportunity to help establish and shape a growing data engineering function rather than simply
• Exposure to complex technical challenges spanning cloud infrastructure, distributed systems, AI