Senior Data Engineer (Snowflake)

RBC; Mississauga; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading financial institution in Mississauga seeks a Senior Data Engineer to design and optimize their Cloud Data Lakehouse platform using Snowflake. The role involves hands-on development, collaboration with cross-functional teams, and ensuring data quality and governance. The ideal candidate has 2+ years of Snowflake experience and strong skills in SQL, Python, and cloud data ecosystems. This position offers a competitive rewards program and the chance to work on impactful projects.

Benefits

Comprehensive Total Rewards Program

World-class training program

Opportunities for progression

Qualifications

• 2+ years of hands-on experience with Snowflake development.
• Strong understanding of ETL/ELT paradigms and dimensional modeling.
• Proficient in SQL and Python for data transformation tasks.

Responsibilities

• Design, develop, and maintain large-scale data warehouses using Snowflake.
• Implement robust data management frameworks and lead data modeling efforts.
• Optimize SQL queries for performance and cost management.

Skills

Hands-on Snowflake Experience

Data Engineering Fundamentals

Technical Skills in SQL and Python

Problem-Solving

Communication

Team Player

Open-Minded

Education

Snowflake Certification (preferred)

Tools

AWS/Azure

Airflow

dbt

Spark

Job description

Overview

This is an opportunity to work at RBC Insurance Active Data Platform team with a group of technology specialists dedicated to delivering solutions 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 highly skilled Senior Data Engineer to design, implement, and optimize our Cloud Data Lakehouse platform using Snowflake, leveraging the RBC Lumina Snowflake offering. The successful candidate will play a pivotal role in hands-on technical execution, collaborating with cross-functional teams to deliver scalable, secure, and high-quality data solutions.

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.

Responsibilities

• Hands-On Snowflake Development: Design, develop, and maintain large-scale data warehouses, data pipelines, and transformation workflows using Snowflake’s native features (e.g., Snowpipe, Tasks, Stored Procedures).
• Data Management & Modeling: Implement robust data management frameworks, including data governance, metadata management, and data lineage. Lead data modeling efforts (dimensional/star schemas, NoSQL-to-Snowflake mappings) to support analytical and operational use cases.
• Data Transformation & Optimization: Write efficient SQL, Python, or Snowflake Scripting (Snowflake SQL, JavaScript UDFs) to transform raw data into curated datasets. Optimize query performance, storage, and cost management in Snowflake.
• Collaboration & Leadership: Partner with architects, data scientists, and business stakeholders to translate requirements into technical solutions. Mentor junior engineers and contribute to best practices for Snowflake development.
• Integration & Quality: Ensure seamless integration with upstream/downstream systems (e.g., APIs, ETL tools, BI platforms). Implement data validation, testing, and monitoring to guarantee data accuracy and security.
• Innovation: Participate in SRE setup to support end-to-end application in production. Ready to provide after hour support as required.

What do you need to succeed?

Must Have

• Hands-on Snowflake Experience (2+ years): Proven expertise in coding, performance tuning, and managing Snowflake environments (certification preferred).
• Data Engineering Fundamentals: Strong knowledge of data management frameworks, ETL/ELT paradigms, and dimensional modeling.
• Technical Skills: Proficiency in SQL, Python, and cloud data ecosystems (AWS/Azure). Experience with Airflow, dbt, or Spark is a plus.
• Problem-Solving: Ability to debug complex data workflows, optimize costs, and ensure scalability.
• Communication: Clear articulation of technical trade-offs to both technical and non-technical audiences.
• Team player: Proactively identify issues on the project, support other team members and know when to escalate and seek further guidance to prioritize work.
• Open minded: Ability to work under pressure and ambiguities.

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?

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
• 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: 2026-02-03

Application Deadline: 2026-02-18

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.