Data Platform Engineer – AI & Azure Analytics

Forum Asset Management; Toronto; On-site; CAD 65,000 - 85,000; Full time

Benefits offered by this job

Excellent Benefits

Salary range CAD 65k-85k

Employee Match Program

Learning and Development Opportunities

Volunteer days

Job summary

Forum Asset Management is seeking a Software Engineer - Data to design, build, and evolve our enterprise data platform using the Microsoft Fabric technology stack. This hands-on, in-office role sits at the intersection of data engineering and software development in Toronto.

You will ingest, cleanse, model, and surface insights, delivering AI-enabled data workflows and scalable pipelines that support investment, real estate, and operations teams.

Qualifications

• 2-3 years of progressive experience in software engineering, data engineering, and/or data science.
• Experience within the Microsoft Azure ecosystem, including Fabric, ADF, Synapse, ADLS Gen2, and Power BI.
• Proficiency in Python for data engineering, automation, API integration, and full-stack development workflows.

Responsibilities

• Contribute to end-to-end design and evolution of Forum’s Lakehouse architecture using Microsoft Fabric and related Azure services.
• Lead large-scale data initiatives, migrations, and integrations across internal and external systems.
• Design and optimize enterprise-grade ETL/ELT pipelines for high-volume data.
• Develop AI/ML-powered workflows using Azure OpenAI, Document Intelligence, and Azure ML.
• Create internal APIs and tools to enable self-serve analytics and data access across departments.
• Partner with real estate, private equity, and operations teams to identify data opportunities and implement solutions.
• Promote data governance, automation, and AI application best practices.

Skills

Python

Azure

Data engineering

ETL/ELT pipelines

AI/ML workflows

Big data

Tools

Microsoft Fabric

Azure Data Factory

Synapse

ADLS Gen2

Power BI

Job description

Forum Asset Management is seeking a Software Engineer - Data to design, build, and evolve our enterprise data platform using the Microsoft Fabric technology stack. This hands-on, in-office role sits at the intersection of data engineering and software development in Toronto.

You will ingest, cleanse, model, and surface insights, delivering AI-enabled data workflows and scalable pipelines that support investment, real estate, and operations teams.