Lead Data Engineer

ODAIA; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Senior Technical Lead in Data Engineering to provide technical leadership for its data applications. The ideal candidate will have over five years' experience, along with expertise in APIs and data engineering best practices. This full-time position offers competitive compensation and the chance to work in a dynamic and collaborative team environment.

Benefits

Comprehensive Total Rewards Program

Leaders supporting your development

Dynamic, collaborative team

Qualifications

• 5+ years of professional experience with scalable production APIs.
• Strong expertise in GenAI and Machine Learning service integrations.
• Proficient in data engineering concepts like data quality and data governance.
• Excellent communication skills to explain technical concepts.

Responsibilities

• Provide technical leadership for WM Data applications.
• Lead technical design and implementation of applications.
• Work collaboratively in an Agile team environment.
• Ensure the efficiency of existing application systems.

Skills

Python

Generative AI

Machine Learning

Database Development

Data Warehousing

ETL Processing

AWS AI Services

Microsoft Azure

Snowflake

Java

Tools

Amazon S3

Microsoft SQL Server

Red Hat OpenShift

Job description

Overview

Job Description

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 focuses 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.

Responsibilities

• 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, and 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.
• Ensure the operating efficiency of existing application systems. Maintain records for the documentation of systems development and revisions.
• Work 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.

Qualifications

• 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, 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: 2025-11-30

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. 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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