Senior Data Engineer
Royal Bank of Canada Toronto, Ontario, Canada
Financial Services · 10,001+ employees
About the role
Design and implement enterprise data architecture, including real-time and batch data pipelines using Azure Databricks and Apache Airflow. Manage cloud infrastructure, containerized deployments, and data observability frameworks to ensure high-quality, scalable analytics.
What they look for
Requirements
Requires at least 4 years of data engineering experience with proficiency in Python, SQL, and Azure cloud platforms. Candidates must demonstrate strong knowledge of data orchestration, containerization, and distributed systems.
Benefits
Full description
Job Description
What 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 Have
4+ 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.
#LI-ASPOST
#TECHPJ
Job Skills
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
2026-08-26Application Deadline:
2026-09-09Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
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.
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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.
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