Staff Data Engineer

RBC • Toronto, ON

20d • Onsite

About The Position

As Lead Data Engineer in the Investor & Treasury Services Data Engineering team within the Technology and Operations office, you will design, implement, and support enterprise data architecture best practices and processes across the global Investor and Treasury Services organization, aligning with corporate vision. We seek a strategic thinker and passionate data management leader to drive data strategy execution, including Azure Databricks infrastructure management, Power BI optimization, analytics administration, workspace governance, and reporting infrastructure to enable self-service analytics at scale. As a member of a dynamic, fast-paced team, this role demands strong data architecture and engineering expertise, advanced analytics platform leadership, exceptional communication skills, strong work ethic, and demonstrated ability to multitask effectively in changing environments.

Requirements

• 7+ years of experience in data engineering with at least 5 years of hands-on experience in system integration, data and cloud architecture, and technologies listed below:
• Data Engineering: Python, Kafka, MS SQL Server, Elasticsearch stack, Azure Databricks
• Cloud and Containers: Azure (ADLS2, Azure Databricks), OpenShift, Docker
• SQL/Database: Microsoft SQL Server, Azure SQL, Stored procedures
• API: Node.JS, Apigee
• Power BI & Analytics: Power BI (report development, semantic modeling, workspace administration, capacity management), DAX, Power Query
• Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration
• Strong knowledge of algorithms and data structures
• Demonstrated experience with Azure Databricks cluster management, Delta Lake, and Spark optimization

Nice To Haves

• Master's degree in Computer Science or equivalent experience
• Automation/DevOps: Jenkins, Selenium, and similar technologies
• Source code control: GIT
• Experience working in agile/SaFe environment
• Advanced Power BI certifications (Microsoft Certified: Data Analyst Associate or similar)

Responsibilities

• Build real-time data pipelines (inbound, outbound) through container-based solutions and Azure Databricks
• Integrate data with cloud-based platforms; publish data through APIs and Portal
• Manage Azure Databricks clusters, compute resources, and workspace optimization for scalable data processing
• Optimize Power BI reporting infrastructure, semantic models, and dashboard performance across the organization
• Establish Power BI administration best practices, workspace governance frameworks, and user access management
• Manage analytics workspaces, capacity planning, and optimization to support enterprise self-service analytics
• Participate in data curation requirements; support data and digital needs of business and technology stakeholders
• Evaluate current state of data access control (authentication, authorization, encryption) across I&TS systems; develop and support remediation strategies
• Work in agile teams with Data Engineers, Developers, and RBC business stakeholders
• Collaborate with data scientists, process engineers, and business stakeholders on requirement gathering; assist with prescriptive and predictive analytics through consolidated data pipelines leveraging Azure Databricks

Benefits

• 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
• Flexible work/life balance options
• Opportunities to do challenging work

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed