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:

Were looking for aData Engineer to design and build the backbone of Forums enterprise data infrastructure using the Microsoft Fabric technology stack (or a suitable alternative). This is a rare greenfield opportunity to architect the full data lifecyclefrom ingestion and transformation to analytics and AI enablementwhile directly impacting Forums investment, real estate, and operational strategies.

This is a hands-on, in-office role with high visibility. Youll collaborate with investment professionals, business leaders, analysts, and software developers to build scalable data systems and AI-powered workflows that drive real 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

• Design and implement a robust data Lakehouse architecture using Microsoft Fabric, Azure Data Factory, Synapse, ADLS, and related Azure services
• Develop scalable ETL/ELT pipelines to consolidate, standardize, and model data from diverse internal and external sources
• 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 Forums technology ecosystem
• Partner with internal teams and external technology vendors to drive the rollout of the platform

Candidate Profile

Technical Expertise

• Deep 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
• Strong grasp of data modeling, ELT/ETL design, and data warehouse best practices
• Familiarity with Medallion Architecture (Bronze/Silver/Gold layers) or similar structured data workflows

Applied AI Experience

• Proven track record deploying AI tools (Azure OpenAI, Azure ML, etc.) into production to automate workflows, classify documents, or generate actionable insights
• Experience integrating LLMs, document understanding, or AI agents into real business processes, preferably in investment, operations, or sales enablement contexts

Business Partnership & Leadership

• Demonstrated ability to work directly with investment professionals, executives, and analysts to understand business needs and design data systems accordingly
• A builders mindset: capable of working autonomously, identifying opportunities, and turning ambiguity into working solutions
• Strong communication skills and an entrepreneurial, problem-solving approach
• 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
• Familiarity withdata governance, metadata management, and enterprise architecture principles
  

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 [email protected].