ABOUT QUADREAL PROPERTY GROUP

QuadReal Property Group is a global real estate investment, operating and development company headquartered in Vancouver, British Columbia. Its assets under management are $94 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities to invest in equity and debt in both the public and private markets. QuadReal invests directly, via programmatic partnerships and through operating platforms in which it holds an ownership interest.
QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.
QuadReal: Excellence lives here.
www.quadreal.com

EXPERIENCE AND QUALIFICATIONS:

• Design and implement logical and physical data models for enterprise-level platforms, data warehouses, data lakes, and operational databases.
• Collaborate with Data Governance, Data Platform, and Business Intelligence teams to align data models with enterprise standards and business requirements.
• Develop, maintain, and optimize conceptual, logical, and physical data models, ensuring comprehensive documentation is produced and maintained.
• Champion data modeling best practices, and establish modeling standards (including naming conventions, data definitions, and metadata management).
• Evaluate and recommend solutions for data architecture and integration approaches to support changing business needs.
• Review and validate data models developed by other team members; provide mentorship and technical guidance to junior data modelers.
• Translate business requirements and data management needs into high-quality data models and specifications.
• Support data governance objectives through active stewardship of business and technical glossaries and data lineage.
• Work closely with Analytics Engineering and Advanced Analytics teams to ensure data models meet analytical and reporting use cases.
• Participate actively in data quality initiatives, model optimization efforts, and data migration projects.
• Experience in Real Estate and/or Finance sectors is considered a strong asset, offering context for aligning data models with business operations and industry-specific analytics.
• A strong bias towards value delivery, clear KPIs, and robust performance measurement.

ROLE DESCRIPTION:

The Senior Data Modeler will play a critical role within Enterprise Data & Analytics’ Data Foundations group, contributing to the architecture, design, and governance of data structures enterprise-wide. Reporting to the Senior Manager of Data Foundations, this position is responsible for establishing best-in-class data modeling practices and partnering closely with analytics, technology, and business stakeholders to ensure data assets are structured for scalability, integrity, and usability. The ideal candidate will bring a strong business mindset, effectively bridging data solutions with strategic business needs.

RESPONSIBILITIES:

• Design and implement logical and physical data models for the enterprise data platform, and associated data warehouses, data lakes, and operational databases to drive analytics and data as competitive differentiators.
• Translate complex business requirements into clear, actionable, and business-focused data models and specifications, driving tangible business results and insights.
• Collaborate with Data Governance, Data Platform, Data Solutions, and Advanced Analytics & Data Science teams to align data models with enterprise standards and industry best practices.
• Develop, maintain, and optimize conceptual, logical, and physical data models, ensuring comprehensive documentation is produced and maintained.
• Champion and establish data modeling best practices, and enforce modeling standards (including naming conventions, data definitions, and metadata management).
• Evaluate and recommend solutions for data architecture and integration approaches that proactively support business opportunities and changing business needs.
• Review and validate data models developed by other team members.
• Provide mentorship, leadership, and guidance to junior data modelers, ensuring a cohesive approach to data modeling that meets QuadReal’s high standards for business value and analytical performance .
• Translate business requirements and data management needs into high-quality data models and specifications.
• Support and enable data governance objectives through active stewardship of business and technical glossaries and data lineage.
• Work closely with Analytics Engineering, Business Intelligence, and Advanced Analytics teams to ensure data models meet analytical and reporting use cases.
• Participate actively in data quality initiatives, model optimization efforts, and data migration projects.