Job Description

This role is hybrid and requires you to be at our client office (downtown, Toronto) at a minimum 4 days per week - subject to change at any time.



Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.



We're seeking a Lead Data Solutions Engineer focused on building and scaling data-driven systems that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next-generation trading decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship. This role combines data engineering, MLOps and front-end development, offering a unique opportunity to work across entire Data and ML pipeline.

Your future duties and responsibilities

. Lead by Doing: Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands-on role with end-to-end ownership, with significant time doing coding.

. Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.

. Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.

. Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.

Required qualifications to be successful in this role

Must Have:

. 7+ years of experience in designing and building high performance data- heavy backend applications with deep understanding of distributed systems.

. 5 + years hands on experience with big data tools (e.g. Apache Spark/Hadoop/ AWS Glue/ AWS EMR/Snowflake/Azure Databricks/Azure Data Factory)

. Strong understanding of the ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines.

. Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.

. Familiarity of front-end frameworks (e.g. React, Angular) and backend frameworks like FastAPI, Flask, Node.js, Spring boot.

. Excellent communication skills--able to clearly explain complex technical concepts to both technical and non-technical audiences.

. Bachelor's degree in computer science, Engineering, or a related field; Master's or PhD preferred.



Nice to Have:

. Hands-on experience with AWS SageMaker, LLM deployments

. Experience in full-stack development



#LI-MC1

Together, as owners, let's turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...



You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.



Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.



You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.



At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.



To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.



Come join our team--one of the largest IT and business consulting services firms in the world.