Job Description

What's the opportunity?
As a Director, ML and Data Engineering, you will be responsible for guiding a team of engineers to build and manage data platforms and pipelines for Data Science with appropriate data governance and security. You will work with data scientists and peer data engineers to actively solve business problems and delivering value using agile methodology. You will work with technical and business stakeholders to build and maintain an optimized and scalable data pipeline and democratize data. You will participate in the architecture review and approval process. You will be also responsible for working closely with data scientists in the area of data ingestion and feature engineering, establishing coding best practices, maintaining and managing technical documentation and incident triaging and resolution.
We are seeking an ML / Data Engineering leader to drive the development of ML / Data engineering solutions on RBC's Enterprise Data and AI on-prem platform (Borealis AI Farm), that meet the strategic ML / data objectives of the Chief Data Office. The successful candidate will be responsible for leading the design, development, and implementation of data products, as well as lead, mentor, and grow a team of talented engineers. This role requires an understanding of data controls, risk assessments, governance and regulatory requirements.
Your responsibilities include:
This role will encompass an end-to-end Data Integration view from data sourcing, lineage, transformation, and storage to support complex advanced analytics and AI, and require extensive collaboration with Business architecture, System architecture, Business SME and Data Stewards.
Be a hands-on leader, and provide technical leadership & mentorship to fellow technical staff
Work with the Business SMEs and Platform leads to understand and determine best mix of development and technical solutions to meet business requirements and project objectives
Help drive the MLOps strategy for the team, moving towards a scalable infrastructure by understanding and managing the AI/ML needs across multiple business groups
Design modern architectures and end-to-end technology transformation solutions
Apply design-thinking and agile mindset in working with various stakeholders to continuously experiment, iterate and deliver on solutions that enable end-users to extract insights and value from AI Products
Help drive transformation by streamlining and improving engineering processes, technologies and tools. (i.e automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability and reliability)
Leverage best practices in continuous integration and delivery
Explore new capabilities and technologies to drive innovation
Integrate data within on-prem platforms and publish curated data products for consumption
Participate in Data management requirements and support Data and AI needs of business and business stakeholders
Must Have:
Bachelor's degree in computer science or related technical field involving coding (e.g., engineering, physics or mathematics) from an accredited university
Experience building and leading teams
10+ years of hands-on development experience
Experience in data solutions such as Snowflake, Databricks, Hadoop, SQL
Extensive experienced in Data Engineering Tech Stack: Python, PySpark, Databricks, Airflow, Kafka, Snowflake, API: Node.JS, Apigee, Portal/analytics solutions: Angular, Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration.
Experience writing clean and concise codes / scripts using Java, Scala, Python, Angular, SQL (Spark and Databricks-specific SQL is a plus)
Experience with Relational and Non-Relational (i.e. Graph database) data solutions
Experience with containers & orchestration (Docker, Kubernetes, OpenShift)
Strong knowledge of algorithms and data structures, coding best practices
Nice to have:
Automation/DevOps: GitHub Actions, Selenium and similar technologies
Familiarity with Business Intelligence Tools (Tableau, ThoughtSpot)
Experience with cloud environments
Source code control: GIT;
Experience working in agile environment.
What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Opportunities to do challenging work.
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Job Skills Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning, Predictive Analytics, Programming Languages, Relationship Building
Additional Job Details
Address: BAY WELLINGTON TOWER, 181 BAY ST:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: CHIEF LEGAL & ADMIN OFFICE GRP
Job Type: Regular
Pay Type: Salaried
Posted Date: 2025-09-24
Application Deadline: 2025-10-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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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