As Lead Data Engineer in Investor & Treasury Services Data Engineering team within 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.

This role encompasses end-to-end system oversight from data sourcing, lineage, transformation, and storage through Azure Databricks governance and Power BI analytics optimization to support complex advanced analytics and data governance needs, requiring extensive collaboration with Business Architecture, System Architecture, Business SMEs, and Data Stewards. 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 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; 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 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 ~ 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 ~ Robust knowledge of algorithms and data structures Demonstrated experience with Azure Databricks cluster management, Delta Lake,



and Spark optimization Master's degree in Computer Science or equivalent experience Automation/DevOps: Jenkins, Selenium, and similar technologies Source code control: Experience working in agile/SaFe environment Advanced Power BI certifications (Microsoft Certified: Data Analyst Associate or similar) 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 A world-class training program in financial services Flexible work/life balance options Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis Full time Posted Date 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. Join our Talent Community Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com #

📌 Telecommute Staff Data Architect (Toronto)
🏢 RBC
📍 Toronto