You can navigate multiple corporate functions, including global lines of service and corporate centers of excellence. You value personal and professional growth and are ready to take the next step in advancing your career.

About Us: Avison Young is a global commercial real estate brokerage and advisory firm, offering transaction, management, financial and consulting services. We’ve designed our corporate structure to best serve our clients by enhancing collaboration across our organization. Our purpose is to create real economic, social and environmental value as a global real estate advisor, powered by people.

We care about each other and we have each other’s backs. We support the whole person and their complete wellness – economic, mental and physical – because what’s best for our business comes from our people bringing their whole selves to work.

Join Avison

Young’s Data Architecture team as a Senior Analytics Engineer , where you will own and scale our analytics layer in Snowflake using dbt. This is a hands‑on leadership role focused on building high‑quality, business‑aligned data models that power reporting, analytics, and data products across the organization. You will act as a player‑coach , balancing hands‑on development with leadership of other engineers, while partnering closely with business stakeholders to define metrics, data models, and semantic consistency across the company.

Your work will directly enable better decision‑making by ensuring data is not just available, but trusted, well‑structured, and meaningful. This role focuses on analytics engineering and data modeling , not traditional pipeline‑heavy data engineering. We are looking for someone who understands the why behind the data, not just the how.

Customer-focused: You prioritize building data products and models that are intuitive, trusted, and drive real business outcomes. You ensure data accuracy, consistency, and quality across complex transformations and models. You collaborate effectively, incorporate feedback, and value multiple perspectives in shaping data solutions.

Pragmatic: You balance speed and quality,



making smart trade‑offs without compromising long‑term maintainability.

Data product mindset: The base salary is aligned with market data and is estimated to be between $100,000 to $105,000 with the ability to achieve additional compensation through a bonus. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equity.

Analytics

Engineering & Data Modeling (Core Focus): Design, develop, and maintain scalable, business‑aligned data models in Snowflake using dbt (staging, intermediate, marts layers) Build and manage dbt projects , including models, tests, documentation, and lineage Design, deploy, and maintain Snowflake Cortex Search and semantic models to provide high‑quality, governed data structures for LLM‑powered applications and AI initiatives Oversee development operations and deployments of the data platform Translate business requirements into well‑structured, reusable data models Implement data quality testing, validation, and documentation to ensure trusted data Optimize query performance and transformation efficiency in Snowflake Establish and enforce data modeling standards, best practices, and design patterns Develop reusable analytics components to accelerate data product development Data Product & Stakeholder Engagement: Partner with business stakeholders to define metrics, KPIs, and data definitions Ensure alignment between business needs and technical implementations Contribute to the development of data products and semantic layers that support analytics and reporting Drive adoption and usability of data models across analytics and business teams Lead and mentor a small team of analytics/data engineers Set standards for dbt development, code reviews, testing,



and documentation Drive team productivity, technical direction, and project execution Support Agile processes, including backlog prioritization and sprint planning Gather and refine business requirements for data initiatives Translate business needs into clear technical requirements and user stories Support deployment, environment management, and release processes Ensure high‑quality delivery through testing, validation, and stakeholder alignment 5+ years of experience in analytics engineering, data engineering, or related roles ~ Strong expertise in SQL and data warehousing concepts ~ Robust experience in dimensional data modeling (star schema, marts, semantic layers) ~ Experience building and maintaining analytics‑ready data models and transformations ~ Demonstrated ability to lead projects or mentor team members in a player‑coach capacity ~ Experience with data quality, testing frameworks, and documentation practices ~ Experience working with data pipelines, ETL/ELT processes, and cloud data platforms ~ Strong analytical thinking and ability to connect data solutions to business outcomes ~ Bachelor’s degree in Information Technology, Business, or a related field, or equivalent experience Experience in commercial real estate, geospatial data, or location‑based analytics Experience building data products or semantic layers for BI tools On‑Site We are committed to building and maintaining a workforce diverse in experience, skills and knowledge with uniformity in service excellence, commitment and integrity. The firm maintains a strict policy to ensure employment opportunities are equal and do not discriminate based on race, color, religion, creed, age, sex, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, protected veteran or military service status, or any other elements protected by law.

Avison

Young welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates during the recruitment process.

📌 Senior BI Engineer (REMOTE) (Toronto)
🏢 Avison Young
📍 Toronto