Staff Data Engineer (Global Security)

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 Documents

Additional Job Details

16 YORK ST:TORONTOTorontoCanada37.5Full timeTECHNOLOGY AND OPERATIONSRegularSalaried2025-10-092025-10-31

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.