Job DescriptionWhat is the Opportunity?As
Senior Data Engineer in the Investor & Treasury Services Data Engineering team within Technology and Operations, you will design, implement, and support enterprise data architecture and best practices across the global Investor and Treasury Services organization, aligning with corporate vision. We seek a strategic technical leader with deep expertise in modern data platforms to drive data infrastructure excellence, including Azure Databricks architecture, Apache Airflow orchestration, containerized deployments, Power BI optimization, data observability, and analytics governance to enable self-service analytics at scale.
As a member of a dynamic, fast-paced team, this role demands exceptional data architecture and engineering expertise, advanced analytics platform leadership, strong communication skills, demonstrated ability to mentor junior engineers, and proven ability to multitask effectively in evolving environments.
What Will You Do?This role encompasses end-to-end system oversight from data sourcing, lineage, transformation, and storage through Azure Databricks governance, data observability implementation, and Power BI analytics optimization to support complex advanced analytics and data governance needs.
- Design & Build Data Pipelines: Architect real-time and batch data pipelines (inbound, outbound) leveraging Apache Airflow orchestration, Azure Databricks, and containerized solutions
- Manage Infrastructure: Administer Azure Databricks clusters, compute resources, workspace optimization, and Delta Lake environments for scalable data processing
- Containerization & Orchestration: Deploy and manage Docker containers and OpenShift clusters; implement CI/CD practices for data pipeline deployment
- Data Observability: Establish comprehensive data observability frameworks; monitor data quality, lineage, pipeline health, and SLAs across the data platform
- Cloud Architecture: Integrate data with Azure cloud platforms (ADLS2, Azure SQL); publish data through APIs and portals
- Collaboration: Work in agile teams with Data Engineers, Developers, Data Scientists, and RBC business stakeholders on requirement gathering and solution delivery
What do you need to succeed?Must Have4+ years of data engineering experience
Core Technologies- Data Engineering: Python, Apache Airflow, Apache Kafka, Microsoft SQL Server, Elasticsearch stack, Azure Databricks
- Cloud Platforms: Azure (ADLS2, Azure Databricks, Azure SQL), OpenShift, Docker containerization
- SQL & Databases: Microsoft SQL Server, Azure SQL, stored procedures, query optimization
- Data Orchestration: Apache Airflow (DAGs, scheduling, monitoring, operators)
Infrastructure - DevOps: Understanding of containerization, CI/CD pipelines, infrastructure-as-code principles
- Strong foundation: Algorithms, data structures, distributed systems concepts
Nice to Have- Advanced Automation/DevOps: Jenkins,, comprehensive CI/CD orchestration
- Source Control: Advanced GIT workflows, branching strategies
- Agile: Proven experience in scaled agile environments
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 , flexible benefits and competitive compensation Leaders who support your development through coaching and career opportunities Work in a dynamic, collaborative, progressive, and high-performing team Opportunities to do challenging work.
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Job SkillsBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job DetailsAddress:RBC CENTRE, 155 WELLINGTON ST W: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:2026-08-26
Application Deadline:2026-09-09
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
