Senior Analytics Engineer

Toronto, ON
Permanent
Full-time

2 days ago

OverviewJoin 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.What we value in this role:Customer-focused: You prioritize building data products and models that are intuitive, trusted, and drive real business outcomes.Attention to detail: You ensure data accuracy, consistency, and quality across complex transformations and models.Diverse thoughts: You collaborate effectively, incorporate feedback, and value multiple perspectives in shaping data solutions.Team player & leader: You lead by example—mentoring others, setting standards, and contributing hands-on alongside your team.Pragmatic: You balance speed and quality, making smart trade-offs without compromising long-term maintainability.Data product mindset: You treat datasets as products, with clear ownership, definitions, and accountability.Global teammate: Comfortable working in a collaborative, distributed team environment.ResponsibilitiesAnalytics Engineering & Data Modeling (Core Focus):

Design, develop, and maintain scalable, business-aligned data models in Snowflake using dbt (staging, intermediate, marts layers)
Define and enforce semantic consistency, including metrics, dimensions, and KPIs across the organization
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

Leadership & Team Responsibilities (Player-Coach):

Lead and mentor a small team of analytics/data engineers
Set standards for dbt development, code reviews, testing, and documentation
Contribute hands-on to development (~60–70%) while guiding team delivery
Drive team productivity, technical direction, and project execution
Support Agile processes, including backlog prioritization and sprint planning

Coordination & Delivery:

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

Qualifications

5+ years of experience in analytics engineering, data engineering, or related roles
Strong expertise in SQL and data warehousing concepts
Proven experience with dbt and Snowflake (required)
Strong 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
Familiarity with Airflow / Astronomer or similar orchestration tools
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

Nice to have:

Experience in commercial real estate, geospatial data, or location-based analytics
Experience building data products or semantic layers for BI tools

Workplace TypeOn-SiteOur Equal Opportunity CommitmentAvison Young practices as an equal opportunity employer in all services locations around the world. 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. For those requiring assistance, information relating to the need for accommodation and accommodation measures will be addressed confidentially.Avison Young is committed to employing the best talent with the most fair and equitable recruitment practices. Apply with us TODAY!

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