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Lead Data Engineer

Posted 9 Days Ago
Be an Early Applicant
Toronto, ON
Senior level
Toronto, ON
Senior level
The Lead Data Engineer will develop and manage advanced data solutions, coach junior engineers, and ensure the delivery of high-quality, scalable software solutions leveraging data and AI techniques. The role involves mentoring, leading initiatives, and driving continuous improvement in engineering practices.
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Job Summary

Job Description

What is the opportunity?

There is an opportunity for a Lead Data Engineer to join RBC BOREALIS Data Solutions Team. The incumbent will contribute to the building and running of advanced Data Solutions producing highly accurate and timely insights for specific business lines within the Bank.
As RBC BOREALIS is the Bank’s dedicated Data and AI organization, the role provides the opportunity to gain a deeper understanding of how the Bank is using AI to maintain and advancing its leadership position in the Financial Industry. The incumbent will be a strong problem solver with advanced Engineering expertise in data and AI and enjoys owning end to end deliverables in a fast-paced environment. In addition, as a Lead Engineer, the successful candidate will also perform mentoring, coaching, and leading large initiatives in smaller teams.

What will you do?

  • Apply advanced Engineering techniques in Data and AI to create production-grade solutions, that are scalable, governed, and highly available. 

  • Continuously learn and keep abreast with the industry trends in Data and AI and bring to the table a deeper under understanding of design decisions.

  • Coach and grow junior Engineers, participate in larger Engineering discussions taping into a deeper understanding of Data and AI, and Lead by example.

  • Take ownership of end-to-end deliverables and ensure high quality software fulfilling all operational and functional requirements are delivered in a timely manner.

  • Go above and beyond tasks at hand, devise exemplary solutions, file patents and take pride in Engineering excellence.

What do you need to succeed?

Must have:

  • Undergraduate degree with 7+ years’ experience in Data and AI.

  • Strong software Engineering proficiency with expert level knowledge in multiple programming languages and design patterns

  • Strong working knowledge of data structures, SQL and NoSQL Datastores

  • Strong working experience building production grade software adhering to strict SLAs, highly available and scalable.

  • Experience in building APIs/RESTful services.

  • Experience in mentoring junior engineers, leading code review and design sessions.

  • A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping unlock the potential in others.

  • Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues.

  • Great attention to detail, organizational skills, and an analytical mind

Nice-to-have:

  • Experience with public cloud (Microsoft Azure and AWS) and private cloud (IBM OpenShift)

  • Understanding of LLMs, and GenAI workflows

  • platforms and development of applications in multi-cloud, hybrid environments

  • Knowledge of containers and orchestration (e.g: Docker, Kubernetes).

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.

  • Opportunities to do challenging work.

  • Opportunities to building close relationships with clients.

#LI-Post

#LI-Hybrid

#LI-PK

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 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:

2025-01-08

Application Deadline:

2025-01-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
​​​​​​​
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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Top Skills

SQL
HQ

RBC Toronto, Ontario, CAN Office

200 Bay Street, Toronto, Ontario, Canada, M5J 2J5

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