Job Description
What is the opportunity? This is an opportunity to work at RBC Wealth Management Technology Data team with a group of technology professionals dedicated to delivering transformative ML solutions to Wealth business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and up-to-date tools and processes.

We are looking for an experienced and visionary Staff Data Engineer to spearhead advanced ML initiatives, lead end-to-end project delivery, manage and mentor a high-performing ML engineering team, and drive technical innovation across the Wealth Management data domain.

The ideal candidate will have:
End-to-End Production Software Development Expertise : A proven track record of designing, building, and deploying scalable production applications and APIs from conception through maintenance, with deep understanding of software architecture, performance optimization, and operational excellence

Data Product Development & Deployment Mastery : Demonstrated experience leading the full lifecycle of data-driven products—from ideation and development to deployment and optimization—with ability to translate business requirements into scalable data product solutions that drive measurable value

Advanced Machine Learning Integration Capabilities : Deep expertise in integrating Machine Learning models and GenAI solutions with WM data and business systems, with proven success in deploying ML-powered features to production environments

Strong Background in Technical Leadership : Experience managing and mentoring technical teams, providing technical direction, and fostering high-performing cultures of innovation and continuous improvement

Deep Understanding of Modern Data and Cloud Ecosystems : Proficiency in modern data stacks, cloud computing platforms (AWS/Azure), containerization, microservices architecture, and the ability to architect scalable solutions that meet enterprise requirements

Ability to Shape Strategy and Drive Innovation : Proven capability to define technical roadmaps, establish best practices, and lead cross-functional initiatives that align technical solutions with organizational business objectives and drive competitive advantage

You will play a pivotal role in building and scaling our ML capabilities while partnering with IT and business stakeholders to assess, research, and resolve critical business challenges through technology solutions.
What will you do? Team Leadership & Mentorship Manage and lead a team of ML engineers and data engineers, providing technical guidance, mentorship, and career development

Foster a high-performing culture of innovation, collaboration, and continuous learning

Conduct performance evaluations and provide constructive feedback to team members

Hire and build diverse, talented teams aligned with organizational goals

Technical Strategy & Direction Own end-to-end ML project delivery, from conception through production deployment and optimization





Define and communicate technical roadmap and architecture for ML initiatives aligned with business objectives

Provide technical direction and set standards for ML development practices, code quality, and MLOps

Make critical technical decisions that balance innovation, scalability, and risk management

Partner with architects, product managers, and business leaders to evaluate use cases and align ML initiatives with company goals

Production-Level Software Development Design, build, and deploy scalable, production-grade applications and APIs that integrate WM data with advanced capabilities

Establish best practices for code quality, testing, validation, monitoring, and continuous improvement

Oversee end-to-end software pipelines ensuring seamless integration with applications and data platforms

Collaborate with software engineers to ensure robust, maintainable, and well-documented code

Data Product Development and Deployment Lead the development and deployment of data-driven products that deliver measurable business value to Wealth business and clients

Build comprehensive data pipelines and architectures that enable scalable product features

Establish monitoring and metrics systems to measure product performance against Service and Operational Level Agreements (SLAs)

Drive continuous optimization of data products based on performance metrics and user feedback

Cross-Functional Collaboration Act as primary technical liaison with multiple RBC teams, stakeholders, executives, and third-party vendors

Collaborate with Agile teams, product owners, software engineers, and business stakeholders

Communicate complex ML concepts to non-technical audiences and translate business needs into technical solutions

Drive organizational alignment on ML priorities and technical capabilities

Continuous Learning & Innovation Stay at the forefront of emerging ML technologies, cloud advancements, and industry best practices

Share knowledge with teams and drive adoption of new techniques to improve existing systems

Contribute to thought leadership within RBC and the broader ML community

What do you need to succeed? Must Have 6+ years of experience building scalable production APIs/microservices (Python preferred), with 2+ years in leadership or mentorship

Expert-level proficiency in cloud platforms: AWS and/or Azure, with OpenShift containerization experience

Strong expertise in GenAI and Machine Learning service integrations.

Proficiency in data engineering: data cataloging, schema management, data quality, data lineage, data governance, ELT/ETL pipelines, and data streaming.

Excellent business communication skills—able to explain complex technical concepts to non-technical stakeholders and vice versa.





Experience collaborating with architects to brainstorm and design solutions that meet business requirements.

Production-Level Software Development Experience : Proven track record of shipping and maintaining high-volume production applications.

API-First Mindset : Strong emphasis on designing and developing robust, scalable APIs and data pipelines.

Business Acumen & Cross-Functional Leadership : Ability to understand design requirements and lead technical initiatives across multiple teams, aligning business goals with technical solutions.

Learning Agility : Staying current with emerging data engineering technologies, especially in GenAI and ML.

Nice to Have Understanding of IT Standards, Methodologies, CMM & audit requirements

Financial institution and Wealth Management domain knowledge

Advanced ML techniques (NLP, deep learning, reinforcement learning)

Knowledge of modern data platforms and architectures (data lakes, data warehouses, streaming platforms)

Experience with Agile and Scrum methodologies

What’s in it for you? A comprehensive Total Rewards Program including bonuses, flexible benefits, and competitive compensation

Leaders who support your development and growth through coaching and strategic opportunities

The ability to make a significant, lasting impact on RBC’s ML strategy and technical capabilities

Work in a dynamic, collaborative, progressive, and high-performing team

A world-class training program in financial services

Opportunities to lead challenging, high-visibility projects

Opportunities to take on progressively greater responsibilities and strategic influence

Access to a variety of career advancement opportunities across RBC’s business units and geographies

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Job Skills
Big Data Management
Data Mining
Data Science
Deep Learning
Machine Learning (ML)
Predictive Analytics
Programming Languages
Additional Job Details
Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-08-07
Application Deadline: 2026-09-30
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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