Job Description
What is the opportunity?
We're seeking a visionary Lead Data Engineer to join IT Risk Data Analysis team to spearhead multiple transformational initiatives that will revolutionize our data landscape. You'll be the technical leader driving four major strategic projects that will define the next generation of our data infrastructure:
Project Walrus - Build a cutting-edge data platform from the ground up
ITAM/EOL Metric Migration to Walrus - Modernize IT Asset Management and End-of-Life tracking systems
T\&O Dashboard Migration to Walrus - Transform Technology and Operations reporting capabilities
Data Integration for New Sources - Architect seamless API and database connectivity
Disaster Recovery Leadership - Architect bulletproof resilience strategies
Talent Development - Shape the next generation of data engineers
What will you do?
Project Walrus for Enterpise Risk KRI
Architect from scratch - Design a revolutionary data platform with unlimited creative freedom
Design Snowflake data models - Create scalable, optimized data warehouse schemas and structures
Choose your tech stack - Implement cutting-edge technologies and set new industry standards
Scale to enterprise - Build systems that will process petabytes and serve thousands of users
Your vision, your legacy - This will be the platform that defines our data future ITAM/EOL Metric Migration to Walrus - Modernize Asset Management
Lead the migration of IT Asset Management and End-of-Life tracking systems to the Walrus platform
Architect data models that capture complex asset lifecycles and dependencies
Design automated workflows for asset tracking, depreciation, and EOL notifications
Establish comprehensive reporting capabilities for IT asset portfolio management
Ensure seamless transition with zero data loss and improved performance T\&O Dashboard Migration to Walrus - Transform Operations Reporting
Spearhead the migration of Technology and Operations dashboards to the modern Walrus platform
Redesign data pipelines for real-time operational metrics and KPI tracking
Create interactive, self-service analytics capabilities for operations teams
Implement advanced visualization and alerting systems for operational excellence
Establish new standards for operational data governance and quality
Data Integration for New Sources - Connect Everything
Architect robust integration frameworks for diverse API and database sources
Design scalable connectors that handle various data formats and protocols
Implement real-time and batch processing capabilities for different data sources
Create standardized data ingestion patterns and quality validation frameworks
Ensure secure, compliant data integration across internal and external systems
Technical Leadership \& Mentorship - Shape Future Leaders
Mentor and coach junior data engineers, accelerating their career growth
Establish engineering culture of excellence, innovation, and continuous learning
Lead technical decision-making across multiple high-impact projects
Build world-class teams that other organizations will envy
What do you need to succeed?
Must-have:
5+ years of data engineering experience with 2+ years in leadership roles
Hands-On Technical Excellence
Develop sophisticated data pipelines using Python, SQL, and modern frameworks
Implement monitoring and alerting systems that ensure SLO/SLI stayed within acceptable window.
Expert-level Python and SQL skills with proven track record of complex implementations
Apache Airflow. - DAG development, scheduling, monitoring, and troubleshooting
OpenShift/Kubernetes expertise - container orchestration, deployments, and management
Optimize performance of distributed systems processing massive data volumes
Cross-Platform Mastery
Orchestrate complex workflows in Apache Airflow with advanced DAG patterns
Deploy containerized applications on OpenShift and Kubernetes platforms
Disaster Recovery planning and implementation experience in enterprise environments
Leadership \& Collaboration
Lead technical design sessions and architecture review boards
Results-driven - track record of delivering complex projects on time and exceeding expectations
Collaborate seamlessly with RBC teams including DevOps, Cloud Engineering, SRE, and QA teams
Drive cross-functional initiatives ensuring alignment between data engineering and infrastructure teams
Mentor team members through code reviews, pair programming, and knowledge sharing
Drive project delivery using Agile methodologies and DevOps practices
Collaborate with product teams to translate business requirements into technical solutions
Facilitate knowledge sharing across RBC's engineering organization
Nice to Have:
Bachelor's/Master's degree in Computer Science, Data Engineering, or related field
Snowflake expertise - data modeling, warehousing, performance optimization, and SnowSQL proficiency
DataIKU experience and understanding of migration strategies to modern platforms
Leadership experience mentoring teams and driving technical initiatives
Excellent communication skills - ability to explain complex concepts to diverse audiences
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 and production day to day support through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
#TechPJ
#LI-Post
Job Skills
Big Data Analytics, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research DocumentsAdditional Job Details
Address:
16 YORK ST:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
2025-10-09Application Deadline:
2025-10-31Note: 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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