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Added 1 min ago
Aerostructures Intern
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…rugged durability, operational versatility, and excellence in…
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Engineer II
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Vancouver, BC
Openness to participate or lead Civil Engineering Projects a plus
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Closed listing

Aritzia

Information Technology - Lead Analytics Engineer, Distribution Technology

Vancouver, BC, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Posting language: English
Posted: Oct 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 at Aritzia.

THE 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 workspaces, and elevated perks and experiences - we provide it all.

THE PERKS

Some of the industry-leading benefits you will receive working at Aritzia:

Product Discount - Maybe you’ve heard of our famous product discount? Or our exclusive private shopping events? You have now.
Baby Leave Program - We provide up to 16 weeks of paid time to support you and your growing family.
A-OK Commissary & Cafe - Everyday Luxury dining, exclusive to Aritzia. Our in-house bistro and cafe is a private oasis where employees can enjoy curated, subsidized Everyday Luxury dining.
The SET - Our in-office fitness studio and gym with state-of-the-art equipment, custom-created classes and optional personal training. Open 7 days a week, it works out well.
Aritzia Virtual Wellness - Because your health, happiness and safety matter, we provide 24/7 resources to support you in your wellbeing goals, whether they’re physical, mental, social or financial.
Aspirational Workplace - Our offices are specially designed to be spaces of creativity, productivity and inspiration. They’re also dog friendly. Woof.
Amenities - Additional amenities include a private parent’s room, shower facilities with elevated complementary conveniences, bike rooms and more.
The Extras - We also offer a multitude of other perks like dry-cleaning, hotel and restaurant discounts, self-care promos and on-site medical care.

ARITZIA

Aritzia is an Equal Employment Opportunity employer. Our goal is to be inclusive, diverse, and representative of the communities where we work while creating an environment where every person can enjoy a successful career. This commitment applies to all candidates and employees regardless of race, ethnicity, citizenship, creed, place of origin, religion, sex, gender identity, gender expression, sexual orientation, family status, marital status, disability, age, and any other protected characteristic.

Requests for accommodation due to a disability or any other protected characteristic can be made at any stage of the recruitment process and during employment by contacting our People & Culture Team.

We’re committed to making your experience positive and transparent. Please note, our recruiters will only contact you using an @aritzia.com email address. If you receive recruitment-related messages from other domains, please disregard them.

About employer

More about this job

Responsibilities

The Lead Analytics Engineer will develop complex SQL transformations and design scalable data models to support self-serve analysis and reporting. They will act as the technical owner for data sub-domains, ensuring best practices in data architecture and engineering are applied across the team.

Requirements

Candidates must possess advanced SQL expertise and proficiency with modern data transformation frameworks like dbt or Dataform. A strong understanding of data modeling methodologies and experience in optimizing enterprise data workloads on cloud platforms is required.

Skills

SQL
Data modeling
Data transformation
dbt
Dataform
Google Cloud Platform
Data architecture
Kimball methodology
Inmon methodology
Star schemas
Data quality testing
Cloud platforms
Software engineering workflows
Technical mentorship
Code reviews
Analytics engineering

Benefits

Product discount
Baby leave program
Subsidized dining
Fitness studio and gym
Virtual wellness resources
Private parent's room
Shower facilities
Bike rooms
Dry-cleaning
Hotel and restaurant discounts
On-site medical care

Visa sponsorship

Not detected in the job text

Keywords

SQL
Data modeling
dbt
Dataform
Google Cloud Platform
GCP
Medallion architecture
Kimball
Inmon
Star schemas
OBT
Data quality
Cloud computing
Version control
Analytics engineering
Data transformation
Software engineering
Technical mentorship
Code review
Distribution technology
AI solutions
Data science
Business logic
Scalable architecture
Data pipelines

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