Lead Data Solutions Engineer, GFT

Royal Bank of Canada; Vancouver; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution in Vancouver seeks a Lead Data Solutions Engineer to drive the development of scalable data-driven systems. You will play a key role in enhancing analytics, machine learning, and business decision-making. Ideal candidates possess strong data engineering skills and a deep understanding of MLOps. Opportunities for professional development and a comprehensive rewards program are available.

Benefits

Competitive compensation

Flexible benefits

Opportunities for professional development

Qualifications

• 7 years of experience in high performance data-heavy backend applications.
• 5 years hands-on experience with big data tools.
• Strong understanding of the ML lifecycle and MLOps practices.

Responsibilities

• Design and build scalable data pipelines and ML systems.
• Define and promote best practices in data and ML engineering.
• Ensure projects are executed with high quality aligned with business goals.

Skills

Apache Spark

AWS Glue

Machine Learning

Data Engineering

Python

Apache Kafka

MLOps

Education

Bachelor's degree in Computer Science or related field

Master's or PhD (preferred)

Tools

AWS

Apache Hadoop

Snowflake

Job description

Job Summary

Job Description

What is the opportunity

Global Functions Technology (GFT) is part of RBCs Technology and Operations division. GFTs 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.

Were 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 Spring boot.

Excellent communication skillsable to clearly explain complex technical concepts to both technical and non-technical audiences.

Bachelors degree in computer science Engineering or a related field; Masters or PhD preferred.

Nice to Have :

Hands-on experience with AWS SageMaker LLM deployments

Experience in full-stack development

Whats 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.

LI-Post

LI-PK

TECHPJ

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 :

Application Deadline :

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

I nclusion 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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Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Experience : years

Vacancy : 1