Principal Data Platform Engineer
Vancouver or Toronto
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:- Do I believe in fabric's mission? - Am I eager to build cool things? - Am I excited to collaborate with brilliant people?- 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:- Design & Build: Architect a modern, scalable, and cost-effective data platform using industry best practices.- Lead with Vision: Guide data strategy and architecture in partnership with the CPTO and engineering leaders.- Accelerate Product Development: Collaborate with Product Managers and SDEs to launch data-intensive features and products.- Ensure Quality & Compliance: Champion data governance, security, and high availability across all data systems.- Mentor & Influence: Set the bar for technical excellence across engineering, sharing best practices and fostering continuous learning.
What you bring to the table:- 10+ years of hands-on experience in data engineering or data platform roles, ideally within high-growth or startup environments.- 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.- Deep expertise in modern data architectures including ETL/ELT pipelines, Data Lakes, Warehouses, Catalogs, and Real-time Streaming.- Cloud-native experience (AWS), including services like S3, Redshift, Glue, SageMaker, and Bedrock. Bonus for experience with Clickhouse, Airbyte, Rudderstack, Airflow, Metabase & Posthog.- Track record of shipping production-grade data products that drive business or product impact.- Strategic mindset with the ability to influence technical direction, guide engineering best practices, and align data work to business outcomes.- 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:- Competitive compensation packages- PTO and Holiday plans- Benefits packages which include Medical, Dental, Life, and Vision- Wellness & Technology Programs - Retirement Savings Plan- Fast-paced, fun and collaborative environment - A team invested in you both personally and professionally
#LI-Remote Apply
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:- Do I believe in fabric's mission? - Am I eager to build cool things? - Am I excited to collaborate with brilliant people?- 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:- Design & Build: Architect a modern, scalable, and cost-effective data platform using industry best practices.- Lead with Vision: Guide data strategy and architecture in partnership with the CPTO and engineering leaders.- Accelerate Product Development: Collaborate with Product Managers and SDEs to launch data-intensive features and products.- Ensure Quality & Compliance: Champion data governance, security, and high availability across all data systems.- Mentor & Influence: Set the bar for technical excellence across engineering, sharing best practices and fostering continuous learning.
What you bring to the table:- 10+ years of hands-on experience in data engineering or data platform roles, ideally within high-growth or startup environments.- 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.- Deep expertise in modern data architectures including ETL/ELT pipelines, Data Lakes, Warehouses, Catalogs, and Real-time Streaming.- Cloud-native experience (AWS), including services like S3, Redshift, Glue, SageMaker, and Bedrock. Bonus for experience with Clickhouse, Airbyte, Rudderstack, Airflow, Metabase & Posthog.- Track record of shipping production-grade data products that drive business or product impact.- Strategic mindset with the ability to influence technical direction, guide engineering best practices, and align data work to business outcomes.- 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:- Competitive compensation packages- PTO and Holiday plans- Benefits packages which include Medical, Dental, Life, and Vision- Wellness & Technology Programs - Retirement Savings Plan- Fast-paced, fun and collaborative environment - A team invested in you both personally and professionally
#LI-Remote Apply
Job Profile
Regions
Countries
Collaborative environment Company benefits Competitive compensation Equity options Performance bonus PTO Retirement savings plan
Tasks- Collaborate on product development
- Design and build data platform
- Drive engineering excellence
- Ensure data quality and compliance
- Guide data strategy
- Influence technical direction
- Mentor engineering team
AI Airbyte Airflow Architecture AWS Bedrock Clickhouse Data Catalogs Data engineering Data Lakes Data platform Data products Data Warehouses E-commerce ELT Engineering ETL Glue Leadership Metabase Platform PostHog Real-time streaming Redshift Retail RudderStack S3 Sagemaker Security
Experience10 years
Education TimezonesAmerica/Edmonton America/Moncton America/Regina America/St_Johns America/Toronto America/Vancouver UTC-3 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8
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