Join RBC Global Asset Management as a Lead Data Engineer to spearhead the development of data solutions. Focus on designing agile data pipelines and mentoring a skilled engineering team.
In this key leadership position, you will guide a team of talented data engineers while modernizing the data platform. Your primary responsibilities include building scalable architectures, developing ETL processes, and ensuring data quality standards. You will work collaboratively with architects and stakeholders to deliver impactful data solutions.
Key Responsibilities:
• Mentor and lead data engineering team to success
• Drive the design of data platforms and pipelines
• Collaborate on data models and best practices




• Ensure compliance with data quality and governance
• Optimize data workflows for efficiency
Requirements:
• 5+ years of data engineering experience
• Minimum of 2 years leading technical teams
• Expertise in SQL and programming languages (Java, Python)
• Significant experience with cloud platforms (GCP, Snowflakes)
• Familiarity with agile methodologies
Advance your career at RBC by leveraging your data engineering expertise to benefit organizational decision-making.
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📌 Lead Data Engineer Role at RBC (Toronto)
🏢 RBC
📍 Toronto