Data Engineer

Forum Asset Management; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

An investment and asset management firm in Toronto is seeking a Data Engineer to lead the architecture and evolution of their enterprise data platform using Microsoft Fabric. This hands-on, in-office role will significantly influence the company's data strategy and operations. The ideal candidate will have 6-7 years of experience in data engineering and a strong proficiency in Microsoft Azure tools. The firm promotes diversity and offers an inclusive workplace.

Qualifications

• 6-7 years of progressive experience in data engineering.
• Expert-level experience with Microsoft Azure tools.
• Proficiency in Python for data tasks.

Responsibilities

• Own the end-to-end design of Lakehouse architecture.
• Define and enforce data engineering standards.
• Lead large-scale data initiatives and integrations.

Skills

Data engineering

Microsoft Azure ecosystem

Python

AI/ML solutions

Communication skills

Tools

Microsoft Fabric

Azure Data Factory

Synapse

ADLS

Power BI

Job description

Forum Asset Management – Data Engineer

Location: 181 Bay Street, Toronto

In Office:5 days per week

Overview of Forum:

Join us in deliveringExtraordinary Outcomesthrough investment.

Forum is an investor, developer and asset manager operating across North America for over 28 years, focusing on real estate, private equity and infrastructure, with a strategic concentration in housing.

Our AUM exceeds $3 billion. We are committed to sustainability, responsible investing and creating value that benefits our stakeholders and the communities in which we invest, what we call our Extraordinary Outcomes.

In 2024, Forum completed thelargest real estate transaction in Canadawith theAlignvest acquisition,making us thelargest owner of Purpose-Built Student Accommodation (PBSA) in Canada through our $2.5B open ended Real Estate Income and Impact Fund (REIIF).Ournational development pipeline now exceeds $3.5 billion,positioning Forum as thelargest developer of PBSA in Canada, operating from coast to coast.

The Forum team is adaptable, agile, and dynamic, committed to sustainable and responsible investing. Our people bring diverse cultural backgrounds and professional experiences, fostering innovation and thought leadership.We uphold integrity, trust, and transparency as core values, knowing that to achieveExtraordinary Outcomes,we need to support and develop anExtraordinary team.

Position Overview:

We’re looking for aData Engineer to own the architecture, build, and evolution of Forum’s enterprise data platform using the Microsoft Fabric technology stack (or a suitable alternative). This is a rare greenfield opportunity to architect the full data lifecycle—from ingestion and transformation to analytics and AI enablement—while directly impacting Forum’s investment, real estate, and operational strategies.

This is a hands-on, in-office role with high visibility. You’ll act as a trusted advisor and technical authority, collaborating with investment professionals, business leaders, analysts, and software developers to design enterprise-grade systems and AI-powered workflows that drive measurable business value. Your work will lay the foundation for our long-term data strategy and the future of decision-making at Forum.

Key Duties and Responsibilities:

• Own the end-to-end design and evolution of Forum’s Lakehouse architecture Microsoft Fabric, Azure Data Factory, Synapse, ADLS, and related Azure services
• Define and enforce data engineering standards, governance frameworks, and lifecycle management practices
• Lead large-scale data initiatives, migrations, and integrations across diverse internal and external systems
  
• Design and optimize enterprise-grade ETL/ELT pipelines for high-volume, high-complexity data
• Implement structured data workflows (e.g., Medallion Architecture) to deliver reliable, business-ready data
• Develop AI/ML-powered workflows using tools like Azure OpenAI, Document Intelligence, and Azure ML
• Create internal APIs and tools to enable self-serve analytics and data access across departments
• Partner with business teams across real estate, private equity, and operations to identify data opportunities and implement tailored solutions
• Develop and evolve our Power BI dashboards and reporting layer, ensuring reliable data access and visualization
• Promote best practices in data governance, automation, and AI application across Forum’s technology ecosystem
• Partner with internal teams and external technology vendors to drive the rollout of the platform

Candidate Profile:

• 6-7 years of progressive experience in data engineering, with a proven track record of architecting and delivering enterprise-scale data solutions
• Expert-level experience with the Microsoft Azure ecosystem: Microsoft Fabric, Azure Data Factory (ADF), Synapse, ADLS Gen2, and Power BI
• Proficiency in Python for data engineering, automation, and API development
• Deep understanding of data modeling, ELT/ETL design, and data warehouse best practices
• Track record architecting enterprise-scale data platforms in high-growth or regulated industries
• Proven success deploying AI/ML solutions into production at scale
• Experience integrating Azure OpenAI, LLMs, and document intelligence into real business processes
• Ability to evaluate, pilot, and operationalize emerging AI technologies for measurable business impact
• Demonstrated ability to work directly with executives, investors, and analysts to shape data strategy
• Strong communication skills and an entrepreneurial mindset: capable of turning ambiguity into working solutions
• Experience working with financial data models, capital tables, investment reports, or property management systems
• Background in private equity, real estate, asset management, or related sectors preferred
  

At Forum, we encourage diversity. We are committed to an inclusive workplace that reflects our belief that diversity is central to building a high-performing team. Forum is an equal-opportunity employer. We are committed to providing accessible employment practices. Should you require an accommodation during any phase of the recruitment process, please let the recruitment team know at [e-mail].