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Lead Operations Engineer

RBC

Toronto

On-site

CAD 80,000 - 100,000

Full time

17 days ago

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Job summary

A leading financial institution in Toronto is seeking a technically proficient professional for operational support in their data platform, Lumina. This role requires 4-7 years of experience in data engineering or support, with strong skills in SQL and knowledge of Snowflake. The ideal candidate will work collaboratively to ensure data accuracy and system efficiency while addressing technical challenges. A range of benefits are provided, fostering a supportive work environment that values diversity and team success.

Benefits

Comprehensive Total Rewards Program
Coaching and development opportunities
Dynamic and high-performing team
Opportunities for challenging work

Qualifications

  • 4-7 years of experience in technical support or data engineering.
  • Proficiency in SQL and familiarity with Snowflake or cloud-based data warehousing.
  • Strong analytical skills and self-starter attitude.

Responsibilities

  • Provide daily operational support for CDL and resolve technical issues.
  • Optimize Snowflake workloads and develop data pipelines.
  • Collaborate with teams to ensure data integrity and availability.

Skills

Snowflake
SQL for query optimization
AWS
Data governance
Analytical skills

Tools

Terraform
Python
Bash
Job description
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.

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

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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