Lead Data Engineer at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Amazon S3, AWS AI Services, Cloud Applications, Database Development, Data Warehousing, ETL Processing, Generative AI, Java, Machine Learning, Microsoft Azure, Microsoft SQL Server, Python, Red Hat OpenShift, Snowflake

Industry

Financial Services

Description

Job Description What is the opportunity? This is a Senior Technical Lead, Data Engineering position which is part of fast growing Wealth Management Technology & Solution (WMTS) Data Service team which will work with multiple RBC teams, upstream/downstream system consumers and services providers, 3rd party vendor partners, and operation partners. WMTS Data Service team is highly focusing on the communication, collaboration, integration, automation and measurement of cooperation in order to provide a range of operational, business, technical, and system needs, to resolve business systems issues by recommending technology solutions that meet sponsor/stakeholder needs. What will you do? Provide technical leadership for WM Data applications. Partner with architect to create technology roadmap Lead technical design, development, and implementation of applications. Implement effective automation monitoring/recovery strategies along with the build activities. Ensure code quality, performance, scalability, responsiveness of applications. Participate in post-implementation reviews of application, development, and processes, continually working to create a learning environment by sharing with others. Work in an Agile team environment which is fast paced, fun and collaborative. Ensuring the operating efficiency of existing application systems. Maintaining records for the documentation of systems development and revisions. Working with different RBC internal teams for software feature delivery, support and bug fixes. Stay current and competitive by keeping up to date with the latest platform capabilities, security, performance, and reusability What do you need to succeed? Must-have 5+ years of professional experience; 3+ years of experience building scalable production APIs/microservices (Python preferred). 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 Agile experience Financial institution knowledge 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 Amazon S3, AWS AI Services, Cloud Applications, Database Development, Data Warehousing (DW), ETL Processing, Generative AI, Java, Machine Learning (ML), Microsoft Azure, Microsoft SQL Server, Python (Programming Language), Red Hat OpenShift, Snowflake (Platform) Additional Job Details Address: 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: 2025-10-17 Application Deadline: 2025-12-31 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.

Responsibilities

Provide technical leadership for WM Data applications and lead the technical design, development, and implementation of applications. Ensure code quality, performance, scalability, and responsiveness of applications while collaborating with various teams for software feature delivery and support.