Job Description What is the opportunity? We're seeking a visionary Lead Data Engineer to join IT Risk Data Analyis 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 DataIKU to Airflow Migration - Modernize our entire workflow orchestration OpenShift Migration - Transform legacy Linux VMs into cloud-native excellence 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 DataIKU to Airflow Migration Lead the transformation of our entire workflow ecosystem from DataIKU to Apache Airflow Architect migration strategies that ensure zero downtime and seamless transitions Design sophisticated DAGs that will orchestrate complex data pipelines at scale Establish new standards for workflow development and deployment across the organization OpenShift Migration Spearhead the migration from traditional Linux VMs to modern OpenShift container platform Design microservices architecture that's scalable, resilient, and cloud-native Implement DevOps excellence with CI/CD pipelines and automated deployments Create the blueprint for enterprise containerization strategy Disaster Recovery Leadership - Build Unbreakable Systems Architect enterprise DR strategies that ensure business continuity under any scenario Design failover mechanisms with RTO/RPO targets that exceed industry standards Lead cross-functional teams in DR planning, testing, and implementation Become the go-to expert for system resilience and business continuity 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 Documents Additional Job Details Address: 16 YORK ST: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: 2025-10-09 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.
