Job DescriptionWhat 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.
As the successful candidate you will partner with key business stakeholders, understand the business drivers, and advise on data products delivery roadmap based on value prioritization and team capacity planning. You will enable the team to function at their highest efficiencies by fostering a collaborative and innovative team culture. You have excellent communication and presentation skills to work effectively at all levels of the organization.
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?- 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
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Job SkillsBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job DetailsAddress: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:2026-07-30
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 RangeThe 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.
