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RBC is seeking a Lead Data Engineer in Toronto to design, implement, and support enterprise data architecture and governance across Investor & Treasury Services. You will drive data strategy, 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 fast-paced team, you will collaborate with data stewards, architects, engineers, and business
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.
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.
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
RBC CENTRE, 155 WELLINGTON ST W:TORONTO
Toronto
Canada
37.5
Full time
TECHNOLOGY AND OPERATIONS
Regular
Salaried
2026-08-24
2026-09-14
Note** :** Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.