Lead Data Solutions Engineer, GFT

RBC; Vancouver; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution in Vancouver seeks a Lead Data Solutions Engineer focused on building data-driven systems for analytics and machine learning. The ideal candidate has over 7 years of experience in backend application development and expertise in big data tools. You will ensure high-quality project executions while collaborating across teams. This full-time role offers competitive compensation and benefits.

Benefits

Comprehensive Total Rewards Program

Flexible benefits

Coaching and development opportunities

Qualifications

• 7+ years in backend application design and development.
• Experience with big data tools and cloud platforms.
• Strong understanding of the ML lifecycle.

Responsibilities

• Design and build scalable data pipelines and systems.
• Define best practices in data and ML engineering.
• Work closely with data scientists and IT teams.

Skills

Data engineering

MLOps

Machine learning

Distributed systems

Big data tools

Excellent communication

Education

Bachelor's degree in computer science, Engineering, or a related field

Master's or PhD preferred

Tools

Apache Spark

Hadoop

AWS Glue

AWS EMR

Snowflake

Azure Databricks

React

Job description

Job Summary

Job Description

What is the opportunity?

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

We’re seeking a Lead Data Solutions Engineer focused on building and scaling data-driven systems that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next-generation trading decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship. This role combines data engineering, MLOps and front-end development, offering a unique opportunity to work across entire Data and ML pipeline.

What will you do?

• Lead by Doing: Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands-on role with end-to-end ownership, with significant time doing coding.

• Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.

• Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.

• Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.

What do you need to succeed?

Must Have:

• 7+ years of experience in designing and building high performance data- heavy backend applications with deep understanding of distributed systems.

• 5 + years hands on experience with big data tools (e.g. Apache Spark/Hadoop/ AWS Glue/ AWS EMR/Snowflake/Azure Databricks/Azure Data Factory)

• Strong understanding of the ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines.

• Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.

• Familiarity of front-end frameworks (e.g. React, Angular) and backend frameworks like FastAPI, Flask, Node.js, Spring boot.

• Excellent communication skills—able to clearly explain complex technical concepts to both technical and non-technical audiences.

• Bachelor’s degree in computer science, Engineering, or a related field; Master's or PhD preferred.

Nice to Have:

• Hands-on experience with AWS SageMaker, LLM deployments

• Experience in full-stack development

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 and take on progressively greater accountabilities

• Access to a variety of job opportunities across business and geographies.

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Job Skills

Amazon Sagemaker, Apache Airflow, Apache Hadoop, Apache Kafka, Apache Spark, AWS Ecosystem, Big Data, Deep Learning, Distributed Systems, Generative AI, Grafana, Large Language Models (LLMs), Machine Learning Algorithms, Predictive Analytics, Problem Solving, Python (Programming Language), Snowflake (Platform)

Additional Job Details

Address:

410 GEORGIA ST W, FLOOR 3:VANCOUVER

City:

VANCOUVER

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-02

Application Deadline:

2025-08-10

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 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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