Staff, Data Engineer (Global Security)

RBC; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

RBC in Toronto is seeking a Data Engineer to join the Security Insights and AI group under Global Security. You’ll design and optimize data pipelines on Snowflake to support analytics and AI initiatives.

You’ll collaborate with engineers, data scientists, and governance teams to ensure secure, scalable data flows, robust data models, and reliable platform utilities. This role emphasizes performance, security, and end-to-end data delivery within a dynamic RBC environment.

Qualifications

• Hands-on Snowflake experience including stored procedures and data storage best practices.
• Proficiency in building, optimizing, and maintaining ETL/ELT pipelines at scale.
• Strong Python scripting for automation and workflow orchestration with Airflow.
• Knowledge of metadata management, access controls, and compliance.
• Skills to monitor, troubleshoot, and optimize database/query performance.

Responsibilities

• Build, optimize, and maintain scalable ETL/ELT pipelines from diverse sources.
• Develop reusable, secure data solutions aligned with business needs and governance.
• Guide Snowflake usage, standards for data consumption and storage.
• Collaborate with cross-functional teams for analytics, reporting, and ML.
• Strengthen data governance with metadata, access controls, and compliance.
• Monitor performance and optimize queries and processes for scalability.
• Automate workflows using Python and Airflow to reduce manual effort.
• Document architectures, data models, and processes for the team.

Skills

Snowflake

Data pipelines

Python & Airflow

Data governance & security

Performance optimization

Tools

Airflow

Git

Docker

Job description

What is the opportunity?

Join the Data Engineering, Management, and Insights team at RBC within the Security Insights and AI group under Global Security. This role is your chance to shape the future of data centralization at RBC by enhancing the Global Security DataHub platform, built on Snowflake, a cutting-edge cloud data platform.

Job Description

What is the opportunity?

Join the Data Engineering, Management, and Insights team at RBC within the Security Insights and AI group under Global Security. This role is your chance to shape the future of data centralization at RBC by enhancing the Global Security DataHub platform, built on Snowflake, a cutting-edge cloud data platform.

As a Data Engineer, you’ll play a pivotal role in designing, implementing, and supporting innovative tools and utilities that elevate the platform’s capabilities while streamlining workflows for end-users. Collaborate directly with fellow data engineers to architect and deploy robust data pipelines, turning complex challenges into scalable solutions. This is more than just coding—it’s about driving efficiency, security, and strategic decision-making across the organization.

If you thrive on turning data into actionable insights and want to be part of a team shaping the future of security and analytics, this is your opportunity to make a difference.

What will you do?

• Build and Optimize Data Pipelines: Design, develop, and enhance scalable ETL/ELT pipelines to migrate, transform, and load large datasets from diverse sources (e.g., databases, APIs, flat files), ensuring seamless integration for analytics, reporting, and AI solutions.
• Drive Technical Innovation: Leverage advanced tools and techniques to create reusable, secure, and efficient technical solutions that align with business needs and project lifecycle deliverables, including data sharing and governance.
• Champion Snowflake Best Practices: Guide users on effective Snowflake utilization, establishing standards for data consumption, storage, and workflow integration while designing and implementing high-impact stored procedures.
• Collaborate Across Teams: Partner with cross-functional stakeholders to translate data requirements into robust solutions that empower analytics, reporting, AI, and machine learning initiatives.
• Strengthen Data Governance: Implement and maintain best practices for metadata management, access controls, and compliance to ensure data integrity and security.
• Ensure Performance and Scalability: Monitor system performance, troubleshoot issues, and optimize queries/processes to maximize efficiency and scalability.
• Automate and Streamline Workflows: Use Python scripting and orchestration tools (e.g., Airflow) to automate platform utilities and workflows, reducing manual effort and enhancing reliability.
• Document and Share Knowledge: Create clear technical documentation for processes, architectures, and data models to foster team collaboration and institutional knowledge.

What do you need to succeed?

Must-have

• Snowflake Expertise: Hands‑on experience with Snowflake (e.g., designing stored procedures, optimizing queries, data storage/consumption best practices).
• Data Pipeline Development: Proficiency in building, optimizing, and maintaining ETL/ELT pipelines for large‑scale data migration and transformation.
• Programming & Automation: Strong scripting skills in Python for automation and tool development and experience with workflow orchestration tools (e.g., Airflow).
• Data Governance & Security: Knowledge of implementing data governance practices (metadata management, access controls, compliance).
• Performance Optimization: Skills in monitoring, troubleshooting, and optimizing database/query performance for scalability.

Nice‑to‑have

• Technical Collaboration & Communication: Ability to guide users/teams on platform best practices and present technical solutions in cross‑functional meetings.
• DevOps & CI/CD Practices: Knowledge of version control (Git), containerization (Docker), or CI/CD pipelines for data engineering workflows.
• Documentation & Knowledge Sharing: Experience documenting technical processes, architectures, and data models for team use.
• Advanced Data Modeling: Experience designing dimensional models (e.g., star/snowflake schemas) or optimizing data warehouses for analytics.

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
• 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

Job Skills

Analytics, Big Data, Big Data Management, Cloud Computing, Collaboration, Critical Thinking, Database Development, Data Engineering, Data Mining, Data Modeling, Data Pipelines, Datasets, Data Warehousing (DW), ETL Processing, Extract Transform & Load (ETL) Tools, Extract Transform Load (ETL), Git, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address: 16 YORK ST: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: 2026-09-02

Application Deadline: 2026-10-02

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

Our Employment Opportunities

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.