Job Description
Overview
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Forum Asset Management – Data Engineer
Location: 181 Bay Street, Toronto. In Office: 5 days per week.
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 the largest real estate transaction in Canada with the Alignvest acquisition, making us the largest owner of Purpose-Built Student Accommodation (PBSA) in Canada through our $2.5B open ended Real Estate Income and Impact Fund (REIIF). Our national development pipeline now exceeds $3.5 billion, positioning Forum as the largest 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 achieve Extraordinary Outcomes, we need to support and develop an Extraordinary team.
Position Overview
We’re looking for a Data 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 using 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 recruiting@forumam.com.
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries: Investment Management
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