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Lead Data Engineer at RBC

Summary

Lead a Toronto-based data engineering team at RBC, building scalable data pipelines with Python, PySpark, and Azure to deliver high-quality analytics products.

Shape the future of data engineering with RBC as a Lead Data Engineer. Drive impactful data products and oversee a dedicated team in Toronto, Canada.

The Pharos Data & Analytics team is seeking a Lead Data Engineer with over six years of data engineering experience, along with a track record in mentorship. In this role, you will lead a squad, shape roadmaps, and deliver high-quality data solutions while working hands-on with Python and various data platforms.

Key Responsibilities: • Lead a squad of data engineers in technical direction • Partner with stakeholders to prioritize the backlog • Own end-to-end delivery of data products • Design and implement scalable pipelines with PySpark • Optimize performance, reliability, and cost efficiency

Requirements: • 6+ years hands-on data engineering experience • Proficiency in Python and PySpark • Experience with Databricks and SQL • Familiarity with cloud platforms, Azure preferred • Knowledge of Terraform and Airflow

Elevate data engineering practices and foster an innovative culture at RBC.

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