Principal Data Platform Engineer

Fabric; Toronto; Remote; CAD 150,000 - 200,000; Full time

Job summary

An innovative company is seeking a Principal Data Platform Engineer to help shape the future of commerce technology. In this pivotal role, you will design and scale the data infrastructure that supports cutting-edge AI models and agentic experiences. With a focus on engineering excellence and strategic influence, you will collaborate with product teams to drive impactful data solutions. This role offers a competitive compensation package and the opportunity to work in a fast-paced, collaborative environment where your contributions will make a significant difference in the commerce landscape. If you are passionate about data and eager to make an impact, this is the perfect opportunity for you.

Benefits

Competitive compensation packages

PTO and Holiday plans

Medical, Dental, Life, and Vision benefits

Wellness & Technology Programs

Retirement Savings Plan

Fast-paced and collaborative environment

Qualifications

• 10+ years of experience in data engineering roles, ideally in high-growth environments.
• Expertise in building data infrastructure and modern data architectures.

Responsibilities

• Design and architect a scalable data platform using industry best practices.
• Collaborate with Product Managers to launch data-intensive features.

Skills

Data Engineering

Data Architecture

Cloud Services (AWS)

Collaboration

Data Governance

Mentoring

Strategic Mindset

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS S3

AWS Redshift

AWS Glue

AWS SageMaker

Clickhouse

Airbyte

Airflow

Job description

Who we are:

We are a brilliant team making our history to evolve the commerce industry. fabric is the next-generation commerce platform that is designed to provide the commerce services customers expect so they can build world-class experiences, anywhere.

fabric is on a mission to revolutionize commerce for everyone, and we empower businesses that are striving to deliver commerce that drives conversion and customer outcomes. Leading retailers, including Chico’s, Brooklinen, and Ashley’s Furniture, trust fabric to run their modern commerce business. Headquartered in San Francisco, fabric was founded in 2017 by a group of industry veterans determined to bring the same technical principles found at Amazon to retail.

No matter what field you are in, fabric has exciting opportunities for people passionate about making a difference and skilled at what they do!

Here are four questions you should ask yourself:

1. Do I believe in fabric's mission?
2. Am I eager to build cool things?
3. Am I excited to collaborate with brilliant people?
4. Am I motivated to disrupt e-commerce?

If the answer is yes, we want to talk to you!

Where we hire:

Canada (Toronto & Vancouver)

Your next career:

At fabric, we’re building the future of agentic commerce. As a Principal Data Platform Engineer, you’ll play a foundational role in designing and scaling the data infrastructure that powers everything from agentic experiences to cutting-edge AI models. Reporting directly to the CPTO, you’ll drive engineering excellence, influence data strategy, and help shape the future of commerce technology.

Your Responsibilities:

1. Design & Build: Architect a modern, scalable, and cost-effective data platform using industry best practices.
2. Lead with Vision: Guide data strategy and architecture in partnership with the CPTO and engineering leaders.
3. Accelerate Product Development: Collaborate with Product Managers and SDEs to launch data-intensive features and products.
4. Ensure Quality & Compliance: Champion data governance, security, and high availability across all data systems.
5. Mentor & Influence: Set the bar for technical excellence across engineering, sharing best practices and fostering continuous learning.

What you bring to the table:

1. 10+ years of hands-on experience in data engineering or data platform roles, ideally within high-growth or startup environments.
2. Proven ability to build data infrastructure from the ground up (0→1) and scale systems to support complex, high-throughput workloads across OLAP and ML use cases.
3. Deep expertise in modern data architectures including ETL/ELT pipelines, Data Lakes, Warehouses, Catalogs, and Real-time Streaming.
4. Cloud-native experience (AWS), including services like S3, Redshift, Glue, SageMaker, and Bedrock. Bonus for experience with Clickhouse, Airbyte, Rudderstack, Airflow, Metabase & Posthog.
5. Track record of shipping production-grade data products that drive business or product impact.
6. Strategic mindset with the ability to influence technical direction, guide engineering best practices, and align data work to business outcomes.
7. Strong collaborator with a bias for action—equally comfortable architecting, coding, and debugging alongside engineers as advising leadership on platform evolution.

The base salary for this role will be between CAD $150K to 200K.

The annual base salary range for this full-time position reflects the minimum and maximum target salaries for the position across all Canada locations. Actual pay may vary, depending on qualifications, experience and location. In addition, this role may be eligible for an annual performance bonus, equity options, and company benefits (your recruiter can share more details during the hiring process). Final offer amounts may vary from the amounts listed above.

What we bring to the table:

1. Competitive compensation packages
2. PTO and Holiday plans
3. Benefits packages which include Medical, Dental, Life, and Vision
4. Wellness & Technology Programs
5. Retirement Savings Plan
6. Fast-paced, fun and collaborative environment
7. A team invested in you both personally and professionally

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