Lead, Data Engineering

RBC; Toronto; On-site; CAD 105,000 - 155,000; Full time

Benefits offered by this job

Bonus potential

Stock options where applicable

Flexible benefits

Job summary

RBC Global Asset Management seeks a Data Engineering Tech Lead to guide a team of engineers in building scalable data infrastructure, pipelines, and data products to support analytics, BI, ML and AI initiatives.

You will mentor engineers, drive modernization of the data platform, and collaborate with data architects to ensure robust data quality and governance while delivering strategic data projects for decision makers.

Qualifications

• 5 years of hands-on experience in a data engineering role and 2 years of leading a team of data engineers.
• Experience building Batch and Real-time data pipelines using Hadoop, Spark, NiFi, Kafka, etc.
• Proficiency in SQL and one of Java/Scala/Python.
• Experience with cloud-based data platforms (Snowflake, AWS, Azure, GCP).
• Experience with DevOps and agile practices.

Responsibilities

• Lead, mentor, and inspire a team of data engineers to achieve high performance.
• Manage a development team across multiple squads and drive data platform modernization.
• Design, implement, and maintain scalable data architectures and ETL pipelines.
• Collaborate with data architects to define data models, standards, and governance.
• Oversee project delivery and ensure data quality and reliability.

Skills

Data engineering

Team leadership

Batch & real-time pipelines

SQL

Java/Scala/Python

Cloud platforms

Tools

Hadoop

Spark

NiFi

Kafka

Snowflake

AWS

Azure

GCP

OpenShift

S3

Trino

Hive

Job description

What is the Opportunity?

This is an opportunity within the Data & Analytics team at RBC Global Asset Management. We are seeking a hands-on, highly skilled and motivated individual to join our dynamic team as a Data Engineering Tech Lead. As a key member of our data engineering team, you will play a crucial role in leading a team of talented data engineers to spearhead the delivery of data products to improve decision making, driven by data, and empowered by technology. Your primary focus will be on designing, implementing, and maintaining robust data infrastructure and pipelines to support our organization’s data needs and advance our capabilities pertaining to data engineering, BI, Machine Learning and AI.

What you will do?

• Lead, mentor, and inspire a team of data engineers to achieve high performance levels.
• Take on the role to lead a development team working as part of multiple squads.
• Help drive our data strategy and the modernization of our data platform vision by designing and implementing scalable, maintainable, and efficient data architectures.
• Work closely with data architects to define data models and standards and ensure adherence to data engineering best practices.
• Oversee the planning, execution, and delivery of data engineering projects.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Develop and maintain robust ETL processes to extract, transform, and load data from various sources into our data platform.
• Optimize data integration workflows for performance and reliability.
• Troubleshoot and resolve data integration issues.
• Implement and enforce data quality standards and best practices while collaborating with data governance teams to ensure compliance with data policies and regulations.
• Work closely with the data platform team to optimize data infrastructure, databases, storage, and processing systems, and oversee the requirements to improve our DevOps, DataOps, MLOps processes and tools.
• Apply design-thinking and agile mindset in working with various stakeholders to continuously experiment, iterate and deliver on solutions that enable end-users to extract insights and value from data.
• Stay informed about emerging technologies and trends in data engineering.

What you need?

• 5 years of hands-on experience in a data engineering role and 2 years of leading a team of data engineers
• Hands-on experience building Batch and Realtime data pipelines leveraging big data technologies such as Hadoop, Spark, NiFi, Kafka, etc.
• Proficiency in writing and optimizing SQL queries and at least one programming languages like Java, Scala or Python
• Experience with cloud-based data platforms (Snowflakes, AWS, Azure, GCP)
• Experience with following DevOps and agile best practices

Nice to have

• Experience with OpenShift, S3, Trino, Ranger and Hive.
• Java Spring and MVC based web development concepts.
• Knowledge of machine learning and data science concepts and tools.
• Experience with event tracking Building workload monitoring dashboards.

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 through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business and geographies

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

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

WEALTH MANAGEMENT

Job Type

Regular

Pay Type

Salaried

Posted Date

2026-06-29

Application Deadline

2026-08-31

Note

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above. Compensation for this position (including salary and discretionary/variable payments) will be determined by factors, including but not limited to candidate's experience, skills, registration status, performance, individual goals, market conditions, and business needs.

Pay Range

The expected pay range for this position is: $105,000.00 - $155,000.00. The pay range provided is for the primary work location referenced in the Additional Job Details section of this job posting. Pay ranges may differ based on location. If the posting lists multiple job locations, a recruiter can confirm availability of the role and the relevant pay rage for the additional locations listed. RBC supports pay transparency and we strive to ensure all pay ranges are competitive, fair, and equitable.

You have the potential to earn RBC's discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided that business meets its performance targets and you meet your individual goals.

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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