Lead Data Platform Engineer — Azure, Databricks & ML

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

Job summary

A leading financial services firm in Toronto is seeking a Principal Engineer to modernize quantitative investment platforms. You will design cloud-native data architectures, support machine learning initiatives, and develop scalable analytics pipelines. Ideal candidates have strong expertise in cloud platforms and experience in quantitative research environments. This full-time role offers a dynamic work environment and competitive compensation in a collaborative team.

Benefits

Competitive compensation

Flexible benefits

Opportunities for professional development

Dynamic and collaborative work environment

Qualifications

• Strong technical background with a focus on cloud and modern analytics tools.
• Expertise in Python, SQL, Spark for research workflows.
• Experience in applying AI/ML to business problems.

Responsibilities

• Lead design and implementation of data, analytics, and ML pipelines.
• Support transitioning analytical workflows to Azure Databricks.
• Construct robust data processing pipelines for large-scale financial datasets.

Skills

Cloud platforms (Azure, Databricks)

Data engineering

Data modelling

Python

SQL

Spark

Machine learning

Collaboration with quantitative researchers

Education

Relevant degrees in Computer Science, Mathematics, Finance

Tools

MatLab

Bloomberg APIs

Job description

A leading financial services firm in Toronto is seeking a Principal Engineer to modernize quantitative investment platforms. You will design cloud-native data architectures, support machine learning initiatives, and develop scalable analytics pipelines. Ideal candidates have strong expertise in cloud platforms and experience in quantitative research environments. This full-time role offers a dynamic work environment and competitive compensation in a collaborative team.