Job Description

Lead Data and AI Engineer

What is the opportunity?

Are you someone who is passionate about building large, scalable, distributed data systems? Join us at the intersection of finance and cutting-edge technology in one of Canada’s largest banks, where your work directly impacts some of the key strategic financial decisions under T&O Transformation & Chief Operating Office (TCOO).

Our Data Strategy and AI Technology Enablement team is responsible for supporting and maintaining the data platform that drives key financial and operational decisions through the adoption of generative AI in alignment with RBC’s internal GenAI initiatives. Our ecosystem is a mix of databases, data pipelines, APIs, microservices, web applications and dashboards. We are looking for an engaged, self-motivated and goal-oriented individual to lead the transformation of our existing data infrastructure on to the RBC internal cloud platform. You will be responsible for defining the data architecture and technical direction, working closely with cross functional teams, and leads and mentoring other engineers to deliver scalable, reliable and high-impact solutions to meet the needs of all business initiatives within TCOO.

Supported by passionate leaders and subject matter expertise in the financial industry, this is not just another data engineering role. It’s an opportunity to solve complex technical challenges at scale, work on big data technologies, and collaborate with cross-functional teams to leverage data to make strategic business and operational decisions with actionable insights.

What will you do?

-**Technical leadership and architecture:**Drive high-level architecture and technology decisions, setting best-practices and coding standards, ensuring the overall data infrastructure is scalable, reliable and aligned with RBC’s enterprise organizational strategies -**Cross-functional collaboration:**Work more extensively with various line of businesses, analytics teams and other engineering groups on gathering requirements and translating them into technical design specifications for implementation -**Ownership and accountability:**Take end-to-end ownership of the entire data and reporting platform within TCOO and be proactive on communicating with partnering teams on root cause analysis and ETAs when issue arises -**Mentorship and team development:**Spend a significant of your time and effort in coaching junior and mid-level engineers, conducting code reviews, and helping team members grow their technical expertise around big data, enterprise software architectures and GenAI/LLMs -**Strategic thinking:**Beyond solving immediate problems, you will also be expected to strategize and scale future emerging technologies and how the data infrastructure needs to evolve as the organizational goal/initiative changes

What do you need to succeed?

Must Have

• A post-secondary degree or master’s degree in STEM with 5+ years of experience in full-stack software application development

• 5 - 8 years of experience in one or more of the following areas is preferred

  • Databases, data warehouses and/or data lakes (MS SQL, Postgres, HDFS, S3, Databricks, Snowflake)
  • Big data ETL processing frameworks (Spark, Glue, Hadoop or equivalent)
  • Frameworks for development of microservices, APIs, and web applications (FastAPI, Django)
  • Experience with programming languages in Python, Scala as well as query languages (SQL-like)

• Knowledge of full-stack software and data engineering best practices in an agile, full development lifecycle environment, including coding standards, code reviews, testing methodologies and source control management

• Creative and analytical thinker who is goal-driven, self-motivated and capable of working in a dynamic, fast-paced environment

• Excellent interpersonal and highly effective communication skills (verbal and written)

• Passion for user experience with a drive to advocate for data quality, accuracy and consistency in front of stakeholders and partnering teams

Nice to Have

• Experience in designing and building big data pipelines using Apache Airflow or other workflow orchestration tool
• Experience with Cloud platforms (Google Cloud Platform, Amazon Web Services and/or Microsoft Azure) is an asset
• Experience with non-relational database technologies (document, graph, vector) is an asset
• Experience prototyping and productionize RAG-based applications and agentic AI workflows with research background in applying LLM/GenAI solutions is a plus
• Experience in building and maintaining dashboards using Grafana, Tableau, Superset is a plus

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 applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Opportunities to building close relationships with clients
• Access to a variety of job opportunities across business and geographies.

#LI-Post

#LI-PK

Job Skills

Big Data Management, Cloud Computing, Data Analysis, Database Development, Data Warehousing (DW), ETL Processing, Group Problem Solving, Object-Oriented Programming (OOP), Python (Programming Language), Quality Management, Requirements Analysis

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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:

2026-01-20

Application Deadline:

2026-04-05

Note**:**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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Expand your limits and create a new 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.

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.