Lead Data Engineering Position at RBC Borealis
Summary
Lead a team to design and build scalable data platforms and AI systems for RBC Borealis, integrating large datasets and ensuring high-quality backend services.
Become a Lead Data Engineer at RBC Borealis, where you will architect innovative solutions on hybrid data platforms. This role offers the opportunity to drive AI initiatives while collaborating with industry experts.
As a key leader in this role, you will oversee the development and implementation of complex data engineering solutions. Your leadership will not only enhance the capabilities of your team but also ensure the delivery of high-quality products to meet business needs. With access to substantial datasets and computational resources, you’ll work at the forefront of AI research and system integration.
Key Responsibilities: • Lead the design of advanced data systems • Collaborate with stakeholders for architectural alignment • Build and evaluate data quality and performance metrics • Develop backend services exposing data and workflows • Establish scalable runtime patterns for AI deployments
Requirements: • Degree in computer science or equivalent experience • 10+ years in software engineering with Python and SQL • Proven experience in scalable architecture design • Hands-on with data integration tools like Snowflake • Understanding of security protocols in regulated settings
Drive transformative data engineering solutions and leverage your expertise uniquely at RBC Borealis.
As a key leader in this role, you will oversee the development and implementation of complex data engineering solutions. Your leadership will not only enhance the capabilities of your team but also ensure the delivery of high-quality products to meet business needs. With access to substantial datasets and computational resources, you’ll work at the forefront of AI research and system integration.
Key Responsibilities: • Lead the design of advanced data systems • Collaborate with stakeholders for architectural alignment • Build and evaluate data quality and performance metrics • Develop backend services exposing data and workflows • Establish scalable runtime patterns for AI deployments
Requirements: • Degree in computer science or equivalent experience • 10+ years in software engineering with Python and SQL • Proven experience in scalable architecture design • Hands-on with data integration tools like Snowflake • Understanding of security protocols in regulated settings
Drive transformative data engineering solutions and leverage your expertise uniquely at RBC Borealis.