What is the opportunity?AsJob DescriptionAs 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.What Will You Do?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 DatabricksIntegrate data with cloud-based platforms; publish data through APIs and PortalManage Azure Databricks clusters, compute resources, and workspace optimization for scalable data processingOptimize Power BI reporting infrastructure, semantic models, and dashboard performance across the organizationEstablish Power BI administration best practices, workspace governance frameworks, and user access managementManage analytics workspaces, capacity planning, and optimization to support enterprise self-service analyticsParticipate in data curation requirements; support data and digital needs of business and technology stakeholdersEvaluate current state of data access control (authentication, authorization, encryption)



across I&TS systems; develop and support remediation strategiesWork in agile teams with Data Engineers, Developers, and RBC business stakeholdersCollaborate with data scientists, process engineers, and business stakeholders on requirement gathering; assist with prescriptive and predictive analytics through consolidated data pipelines leveraging Azure DatabricksWhat You Need To SucceedMust Have: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 DatabricksCloud and Containers: Azure (ADLS2, Azure Databricks), OpenShift, DockerSQL/Database: Microsoft SQL Server, Azure SQL, Stored proceduresAPI: Node.JS, ApigeePower BI & Analytics: Power BI (report development, semantic modeling, workspace administration, capacity management), DAX, Power QuerySecurity frameworks: LDAP, Kerberos, OAuth 2.0, Vault integrationStrong knowledge of algorithms and data structuresDemonstrated experience with Azure Databricks cluster management, Delta Lake, and Spark optimizationNice to Have:Master's degree in Computer Science or equivalent experienceAutomation/DevOps: Jenkins, Selenium, and similar technologiesSource code control: GITExperience working in agile/SaFe environmentAdvanced Power BI certifications (Microsoft Certified: Data Analyst Associate or similar)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 applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamA world-class training program in financial servicesFlexible work/life balance optionsOpportunities to do challenging workJob SkillsBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements AnalysisAdditional Job DetailsAddressRBC CENTRE, 155 WELLINGTON ST W:TORONTOCityTorontoCountryCanadaWork hours/week37.5Employment TypeFull timePlatformTECHNOLOGY AND OPERATIONSJob TypeRegularPay TypeSalariedPosted DateApplication DeadlineNoteApplications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt 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.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a recent future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.Rbc.Com#J-18808-Ljbffr

📌 Staff Data Engineer (Toronto)
🏢 RBC
📍 Toronto