Information Technology - Lead Analytics Engineer, Distribution Technology

THE BUSINESS  We are Everyday Luxury™. It's what we do and how we do it — together. It's working alongside world-class talent in pursuit of world-class results. It's maximizing your potential in a high-performance culture. It's knowing that wherever you are, you belong. It's elevating your world — and the world of those who love and will love Aritzia. It's You.

And an endless runway of opportunity. With a Global Support Campus in Vancouver and additional Support Office hubs in major cities across North America — including Toronto, New York, Los Angeles and Seattle — our workplace network is strategically designed to support our People and serve our Clients a frictionless experience. So, you can do what you do best — with us.
THE TEAM  The mission of the Distribution Technology department is to design, build, deliver, and operate scalable technology, data, analytics, and AI solutions that align with the strategic objectives of Aritzia’s distribution network functions.
THE OPPORTUNITY  Aritzia is experiencing exponential growth, and the Distribution Technology team is growing with it. This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Lead Analytics Engineer, you will support and enable the business, apply data modeling expertise, and become the data domain go-to person.

With the skills you gain in this role the opportunities are endless, from a rewarding career in Technology to continued growth  ROLE  As the Lead Analytics Engineer, you will:
Develop complex SQL transformations to create beautifully designed and widely used data models
Embed and enrich business logic to unify the analysis of cross functional teams
Design and recommend data model structure and flow
Review and approve model changes and be the technical owner for specific data sub-domains
Create in Google Cloud Platform and Dataform (Google’s version of DBT)
Contribute to and leverage the best practices and standards of analytics engineering
THE QUALIFICATIONS  The Lead Analytics Engineer has:
Proven and best-in-class skills, education, and/or applicable certifications:
Advanced SQL expertise with the ability to create efficient and tuned data models
Proficiency with modern data transformation frameworks such as dbt and/or Dataform
Proven ability to build scalable and effective data models from business requirements
Strong understanding of modern data architecture and modeling methodologies (e.g. medallion architecture, Kimball and Inmon approaches, star schemas, and One Big Table (OBT) design)
Deep expertise in incremental modeling patterns, partitioning and clustering strategies, and data quality testing frameworks
Experience in optimizing enterprise data workloads on cloud platforms (e.g. GCP, AWS, and Azure)
Experience in applying software engineering workflows to data platforms (e.g. version control, testing, and deployment across environments)
Experience in technical mentorship, code reviews, and elevating engineering best practices across teams
A commitment to learn and apply Aritzia's Values and Business and People Leadership principles
An enthusiastic approach to taking on new opportunities and challenges
The skills to collaborate strategically with cross-functional partners in the pursuit of shared business outcomes
THE COMPENSATION  At Aritzia, we provide market-leading compensation packages designed to reward impact through our pay-for-performance philosophy. The range for roles at this level is $100,000 - $300,000 per year. Total compensation may include base, bonus and/or equity depending on the role, which has the potential to be greater than this range.

With comprehensive benefits, aspirational work spaces, and…