Job Description

What is the opportunity?

Lumina is RBC’s internal enterprise data and AI platform, purpose-built to drive innovation at scale. Designed for use by engineers, data scientists, and business analysts, it is a key enabler in the development of leading-edge AI models while ensuring the safety, responsibility and resilience that are at the core of RBC’s approach to AI.

With Lumina, our teams have access to RBC’s data assets to derive high-value insights and develop transformative solutions that can solve business, and client needs in every corner of the bank.

We are seeking a skilled, collaborative, and motivated Lead Operations Engineer to join our dynamic Lumina Cloud Platform team.

Initially, the primary emphasis of this role will be on the Cloud Data Lakehouse (Snowflake) platform. In this critical role, you will be responsible to ensure the smooth, reliable, and efficient operation of our Cloud Data Lakehouse environment. Your expertise will be essential in providing platform related technical support, performance optimization, and troubleshooting while driving best practices in operations.

After the initial focus on the Cloud Data Lakehouse (CDL) platform, we anticipate this role to evolve to encompass a broader scope, bridging operations of the Lumina Cloud Platform product suite and ensuring seamless integration across platforms.

Join our team to make a significant impact in the world of Lumina Cloud Platform Operations.

What will you do?

Provide daily operational support for CDL focusing on monitoring, troubleshooting, and resolving technical issues related to data warehousing and ETL processes

Work closely with data engineers, analysts, cross-functional teams, and other stakeholders to address support requests and incidents related to CDL

Optimize and enhance performance of Snowflake workloads through SQL query tuning, resource monitoring, and scaling solutions

Assist in developing, deploying, and maintaining data pipelines within Snowflake

Collaborate with data engineers and analysts to ensure data integrity, availability, and accuracy across datasets and workflows

Proactively identify opportunities for improvement and implement best practices for the CDL platform including security, user management, and access control

Work closely with platform engineering team to ensure platform integrity, availability and enhance the efficiency and reliability of CDL operations

Maintain up-to-date documentation on CDL configurations, processes, and troubleshooting guides

What do you need to succeed?

Must Have:

4-7 years of experience in technical support or data engineering, focusing on Snowflake or other cloud-based data warehousing solutions

Proficiency in SQL for query optimization and troubleshooting

Familiarity with cloud platforms such as AWS, Azure, or GCP

Knowledge of Terraform, RedHat, OpenShift is a plus

Snowflake certification is beneficial

Understanding of data governance and security best practices is a plus

Strong analytical skills to resolve complex technical issues

Self-starter with excellent communication skills and a collaborative mindset for effective team work

Nice to Have:

Experience with scripting languages (Python, Bash)

Familiarity with data modeling, schema design, and database management

Knowledge & understanding of operational support frameworks

Experience working in an Agile environment

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

Opportunities to do challenging work

Opportunities to take on progressively greater accountabilities        

Opportunities to building close relationships with clients

#LI-Post

#TechPJ

Job Skills

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

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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:

2026-01-25

Application Deadline:

2026-02-28

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.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.