Principal Engineer, Enterprise Data & Analytics

About QuadReal Property Group QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships. 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 Role Description: The Principal Engineer, Data Solutions is a senior technical leadership position responsible for ensuring the quality, scalability, and effectiveness of data and analytics solutions within QuadReal's Enterprise Data & Analytics function. Reporting to the Director of Data Solutions, this role serves as the technical right-hand. They set standards, mentor team members, evaluate complex solutions, and deliver hands-on technical work for the organization's most challenging data problems. This is an individual contributor role for a seasoned data professional who wants to have enterprise-wide impact through technical excellence, mentorship, and thought leadership without taking on people management responsibilities. Responsibilities: Technical Leadership & Standards (40%) Set the Technical Bar: Define and enforce standards for data modeling, analytics engineering, and BI development across all Data Solutions squads Solution Evaluation: Review and validate technical designs for major initiatives, ensuring architectural soundness and alignment with enterprise patterns Vendor Management: Evaluate proposals from consulting partners and technology vendors; hold vendors accountable for quality and delivery Quality Assurance: Conduct code reviews, model reviews, and technical assessments to maintain high standards in alignment with governance best practices Hands-On Technical Delivery (35%) Build Reference Implementations: Create exemplary data models, dbt projects, and BI dashboards that serve as templates for the organization Solve Complex Problems: Tackle technical challenges beyond current team capabilities, from advanced SQL optimization to complex dimensional modeling Develop Data Models: Design and implement scalable, well-documented data models using dbt, Snowflake/Fabric, and modern analytics engineering practices Hands-On Coding: Write production SQL, Python, and data transformation logic daily (60%+ hands-on work) Enablement & Mentorship (25%) Upskill Data Analysts/Product Managers: Teach effective due diligence, solution design, and technical requirement translation Mentor Analytics Engineers: Provide structured guidance on data modeling patterns, dbt best practices, and analytical thinking Conduct Training: Lead technical workshops, lunch-and-learns, and documentation initiatives Foster Technical Culture: Build a culture of engineering excellence, continuous learning, and quality-first thinking Experience and Qualifications: 6-8+ years in analytics engineering, data engineering, business intelligence, or related technical roles Proven track record designing and implementing enterprise-scale data solutions ($1B+ organization preferred) Deep expertise in data modeling methodologies (dimensional modeling, data vault, metrics layers, etc.) Production experience with modern data stack tools: dbt, Snowflake/Databricks/Fabric, SQL, Python Hands-on BI development using Power BI, Tableau, or similar enterprise platforms Vendor/partner management experience evaluating and holding consulting firms or technology vendors accountable Mentorship experience upleveling junior and mid-level data professionals Core Technical Expertise: Expert-level SQL (complex queries, optimization, window functions, CTEs) Data modeling and dimensional design (star schema, snowflake, data vault) dbt (data build tool) or equivalent transformation frameworks Modern cloud data warehouses (Fabric, Databricks) Power BI or Tableau (DAX, calculated fields, performance optimization) Python for data analysis and automation Apache Airflow or similar orchestration tools Git/version control and CI/CD practices Data quality, testing, and observability frameworks Data governance and security best practices Key Competencies: Technical Judgment: Can evaluate solutions and articulate trade-offs clearly; knows when to be pragmatic vs. principled Teaching Ability: Can explain complex technical concepts to non-technical audiences and mentor others effectively Hands-On Mindset: Prefers writing code to drawing diagrams; leads by example Intellectual Curiosity: Stays current with modern data practices; eager to learn and experiment Stakeholder Management: Can translate business requirements into technical solutions and push back when needed Ownership Mentality: Takes pride in quality; doesn't ship "good enough" when excellence is achievable Preferred Experience: Real estate, financial services, or asset management domain experience Experience with Azure ecosystem (Fabric, Data Factory) This job posting is for an existing vacancy within our organization. The expected annualized base salary range for this role is $120,000-$150,000. Based on the position, QuadReal offers a competitive total rewards package in addition to the base pay, which may include a performance-based incentive plan, comprehensive health & dental benefits, pension plan, and paid time off. The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual's skill, experience, education and training, the market compensation of the role, and the consideration to internal equity. We value diverse experiences and perspectives. Even if your skills don't align 100% with the listed qualifications or salary range, we encourage you to apply – you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities. We use artificial intelligence (AI) technology — alongside human review — to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions. Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes. QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact. #LI-SK1 #LI-Hybrid At QuadReal, we create spaces that enhance the lives of the people and communities we serve. Headquartered in Vancouver, Canada, our vision is to be a leading global real estate partner—driving meaningful impact while delivering prudent growth and strong returns. With a global presence across Canada, the U.S., Asia, and the UK, our success is built on our values—integrity, collaboration, performance, innovation, and responsibility. Dedicated teams and like-minded partners are why we are one of the world's leading real estate companies. Join an exceptional team of over 1,900 professionals in an environment that empowers you to grow, excel, and make a difference. Together, we're reimagining an industry and building a culture where ingenuity meets community-building.