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Principal Data Platform Engineer

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

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Average salary estimate

$175000 / YEARLY (est.)
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$150000K
$200000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Principal Data Platform Engineer, Fabric

At fabric, we are on a mission to revolutionize the commerce industry, and we’re looking for a Principal Data Platform Engineer to join our talented team in either Vancouver or Toronto. If you're excited about building modern, scalable data platforms, this role is for you! In your position, you will work directly with our CPTO, playing a pivotal role in designing data infrastructure that supports everything from innovative agentic experiences to advanced AI models. Your responsibilities will include architecting data solutions following industry best practices, collaborating closely with Product Managers and Software Development Engineers to launch data-intensive features, and ensuring that our data governance meets the highest standards. We are searching for someone with at least 10 years of hands-on experience and a strong background in building data infrastructures from the ground up. Your expertise should include modern data architectures and cloud-native services, especially AWS. At fabric, we prioritize collaboration and mentorship, so you will have the chance to set the standard for technical excellence within the engineering team while fostering a learning environment. With a competitive salary range of CAD $150K to 200K and an array of benefits, including performance bonuses and flexible working options, you will be joining a passionate team eager to disrupt the e-commerce landscape. If you believe in our mission and are ready to build amazing solutions with extraordinary minds, we want to hear from you!

Frequently Asked Questions (FAQs) for Principal Data Platform Engineer Role at Fabric
What are the key responsibilities of a Principal Data Platform Engineer at fabric?

As a Principal Data Platform Engineer at fabric, you'll have significant responsibilities including designing and building a scalable data platform, leading data strategy, collaborating closely with product teams to launch new features, ensuring data quality and compliance, and mentoring engineers to promote best practices across the organization.

Join Rise to see the full answer
What qualifications are required for the Principal Data Platform Engineer position at fabric?

Candidates for the Principal Data Platform Engineer role at fabric should have over 10 years of experience in data engineering, ideally in high-growth environments. Key qualifications include deep expertise in modern data architectures, cloud-native experience especially with AWS, and a proven track record of developing production-grade data products.

Join Rise to see the full answer
How does the Principal Data Platform Engineer contribute to product development at fabric?

The Principal Data Platform Engineer at fabric plays a crucial role in accelerating product development by collaborating with product managers and software engineers to implement data-intensive features, thus influencing how products interact with and utilize data effectively to enhance customer experiences.

Join Rise to see the full answer
What is the team culture like for the Principal Data Platform Engineer at fabric?

At fabric, the culture is fast-paced, collaborative, and fun. The Principal Data Platform Engineer will work alongside a team that values innovation and continuous learning while striving to empower each other to achieve personal and professional growth in an inspiring environment.

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What benefits are offered to the Principal Data Platform Engineer at fabric?

fabric provides a competitive compensation package that includes a salary range of CAD $150K to 200K, performance bonuses, and an attractive suite of benefits encompassing medical, dental, vision, retirement savings, paid time off, and wellness programs, ensuring a supportive work-life balance.

Join Rise to see the full answer
Common Interview Questions for Principal Data Platform Engineer
Can you describe your experience with building data platforms from scratch?

When answering this question, focus on specific projects where you had to design and implement a data platform from the ground up, detailing your role, the technologies you used, challenges faced, and the final impact on the organization.

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How do you ensure data quality and compliance in your projects?

Discuss your methodologies and tools for maintaining data integrity, such as implementing validation rules, conducting audits, and utilizing data governance frameworks to guarantee that all data systems meet compliance standards.

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What cloud services do you have experience with for data engineering?

List the specific AWS services you're familiar with, such as S3, Redshift, and Glue. Provide examples of how you’ve used these services in past projects and the outcomes achieved.

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How do you collaborate with product managers in your role?

Explain the importance of cross-functional collaboration, highlighting your communication strategies, methods for understanding product requirements, and how you translate those into technical specifications for data solutions.

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Describe a challenging data engineering project and how you overcame obstacles.

Provide a concise overview of a relevant project, focusing on the specific challenges faced, your approach to resolving them, and the ultimate outcome that demonstrates your problem-solving abilities.

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What strategies do you employ to mentor junior engineers?

Discuss your approach to mentoring, including how you encourage continuous learning, share knowledge through code reviews, and foster an environment where junior engineers feel comfortable seeking guidance.

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What do you believe is key for influencing data strategy in a growing company?

Articulate your thoughts on the importance of aligning data strategy with business goals, utilizing data-driven decision-making, and fostering collaboration among teams to create a cohesive strategy that drives success.

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How have you contributed to improving data infrastructure in previous roles?

Share concrete examples of improvements you initiated in past positions, such as optimizing workflows, scaling systems, or enhancing data accessibility that resulted in reduced costs or improved performance.

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What trends do you see shaping the future of data engineering?

Discuss emerging trends like real-time data processing, the integration of machine learning, and the increasing significance of data governance, as well as how you plan to stay updated and adapt to these changes.

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How do you approach scalability in your data architecture?

Explain your methodology for designing scalable architectures, including considerations for load balancing, data partitioning, and choosing appropriate technologies that can dynamically adapt to changing demands.

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Full-time, remote
DATE POSTED
April 21, 2025

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