Snowflake Lead Data Engineer

RBC; Mississauga; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Total rewards program with bonuses and

Stock options where applicable

Leadership development opportunities

Dynamic, collaborative team

World-class training program

Job summary

RBC invites applications for a senior data engineering leadership role focused on building and operating a Snowflake-based data lakehouse platform. You will lead a team of data engineers, work with business stakeholders, and drive architectural decisions to enable scalable, secure data pipelines across Snowflake, Python/Snowpark, and related tools.

The role emphasizes collaboration, performance tuning, and data quality across the lifecycle.

Qualifications

• 5+ years of experience in data engineering with a focus on Snowflake Cloud Data Lakehouse Platform.
• Deep, hands-on experience with Snowflake architecture, SQL, SnowSQL, Tasks, Streams, Stages, and performance tuning.
• Strong proficiency in Python, with Pandas; Snowpark experience is a major plus.
• Solid understanding of cloud concepts on Snowflake, AWS, Azure, or GCP, especially storage and security.
• Proven experience in leading and managing high-performing teams.
• Excellent communication and interpersonal skills with stakeholders.
• Experience on multiple projects with high impact and risk and complex requirements.

Responsibilities

• Technical Leadership: design, develop and implement data strategies aligned with business objectives.
• Business Stakeholder Management: communicate technical concepts to stakeholders and provide solutions.
• Data Engineering: design and maintain large-scale data warehouses and pipelines on Snowflake.
• Lead the design of scalable ingestion, transformation pipelines using dbt, Python/Snowpark and Snowflake features.
• Monitor and optimize Snowflake workloads, including warehouses sizing, clustering and micro-partitioning.
• Collaborate with Data Architect to implement data quality frameworks.
• Contribute to Medallion data model architecture (bronze-silver-gold).
• Manage deployment of Snowflake objects and lead SRE setup for production.

Skills

Snowflake

Python

Snowpark

Cloud platforms

Data engineering leadership

Data warehousing

SQL

Stakeholder communication

DevOps

Big data

Tools

dbt

Snowflake

Job description

Job Description

This is an opportunity to work at RBC Insurance Active Data Platform team with a group of technology specialists dedicated to deliver solution to Insurance business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes. You will have an opportunity to make a real difference by working on some impactful and meaningful projects.

We are seeking a hands-on technical leader responsible for the design and technical implementation of our Cloud Data Lakehouse platform using Snowflake, leveraging the RBC Lumina Snowflake offering. The successful candidate will be responsible for leading a team of data engineers, working closely with business stakeholders, and collaborating with architects to make technical decisions that drive business growth. You will design, develop, and maintain large-scale data Lakehouse and data pipelines on Snowflake, ensuring data quality, security, and scalability. This role will focus on the application-level design and implementation, ensuring seamless integration with existing systems, and providing technical leadership to the development team.

Our applications are used by RBC staff and clients making your contributions highly impactful and visible, directly contributing to the success of RBC. We deliver digitally enabled applications that are both internal and internet facing. We build cloud data lakehouse, stable web, and back-end applications which are resilient, scalable and high performance that avoids failure and focused on delivering best client experience. We continuously update our tech skills and upgrade our platforms to match industry standards.

What will you do?

• Technical Leadership: collaborate with the Agile Data Transformation Program to design, develop and implement data strategies that align with business objectives.


• Business Stakeholder Management: build strong relationships, communicate technical concepts and solutions to business stakeholders, providing solutions that meet their requirements.


• Data Engineering: design, develop, and maintain large-scale data warehouses and pipelines on Snowflake, ensuring efficient use of resources and cost-effectiveness.


• Lead the design and development of scalable and robust data ingestion, transformation pipelines and consumption/analytics using tools like dbt, Python/Snowpark and Snowflake-native features (Cortex AI, Snowpipe, Tasks, Streams).


• Proactively monitor and tune the performance of Snowflake workloads, including query optimization, Virtual Warehouse sizing, clustering, and micro-partitioning strategies to manage cost and efficiency.


• Working with the Data Architect to implement data quality frameworks, ensuring data integrity and consistency throughout the entire data lifecycle.


• Understand modern data management framework, contributes to a comprehensive Medallion data model architecture, including bronze, silver, and gold layers, to ensure data quality and consistency.


• Manage and automate the deployment of Snowflake objects.


• Lead in SRE setup to support end-to-end application in production. Ready to provide after hour support as required.


• Partner with the solution architect to translate high-level designs into concrete implementation plans and collaborate with data analysts and data scientists to understand the needs.


• Identify potential new and innovative technologies which could benefit RBC Insurance and build, test and assess feasibility for current or future use;


• Ability to determine alternative methods and processes to best support RBC Insurance Application and Data needs;

What do you need to succeed?

Must Have

• Strong understanding of business operations and data-driven decision-making


• 5+ years of experience in data engineering, with a focus on Snowflake Cloud Data Lakehouse Platform. Deep, hands-on experience with all aspects of Snowflake platform, including architecture, SQL, SnowSQL, Tasks, Streams, Stages, and performance tuning features


• Strong proficiency in Python, with experience in libraries like Pandas and a solid understanding of object-oriented programming. Experience with Snowpark is a major plus


• Strong understanding of cloud concepts on cloud-based data platforms (Snowflake, AWS, Azure, or GCP), especially regarding storages and security.


• Proven experience in leading and managing high-performing team


• Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders


• Strong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions


• Experience on multiple projects with multiple interfaces and/or third parties. Successfully and simultaneously managed multiple projects with emphasis on High Impact, High Business Risk, Uncertain Business Requirements and New Technology

Nice to Have

• Certifications: Snowflake certifications (e.g. Snowflake Certified Data Engineer)


• Knowledge of data engineering tools, familiar with cloud-based data platforms (e.g. AWS, Azure, GCP)


• Experience with machine learning, artificial intelligence, or other emerging technologies


• Adaptability, Critical thinking and growing mindset


• Management and collaboration skills, Verbal and written communication skills


• Team contributor and care about team members


• Stay relevant to the current industry trend.

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


• A world-class training program in financial services


• Opportunities to do challenging work


• Opportunities to take on progressively greater accountabilities


• Opportunities to building close relationships with clients


• 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: MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA

City: Mississauga

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-08-06

Application Deadline: 2026-08-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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.

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.