Job DescriptionWhat 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 modern 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 SkillsBig Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Additional Job DetailsAddress: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
