Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About the Role:

Do you want to use data to help drive the direction of Faire's product features that impact small and medium businesses (SMB)? If yes, we want to talk to you. We're seeking a Senior Data Engineer who combines a deep understanding of building scalable data pipelines with a passion for applying software development best practices to data-driven solutions. You'll design, build, and maintain the critical infrastructure that empowers our data-driven decision-making, product development, and business insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Job Description & What You Will Do:

The perfect candidate will have robust software and data Engineering skills, an understanding of software engineering best practices, data infrastructure, and architecture skills, a proven track record of leading and strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision.

Architect Robust Data Pipelines: Design and implement highly reliable, scalable, and performant data pipelines (ETL/ELT) to process structured and semi-structured data from diverse sources into our data lake and data warehouse.
Champion Data Quality: Develop and enforce data quality standards, implement monitoring, and proactively troubleshoot data integrity issues.
Contribute to Data Infrastructure Quality: Participate in testing, code reviews, and using tools like CI/CD to help the team build reliable and scalable data pipelines.
Collaborate Cross-Functionally: Work closely with data scientists, analysts, product managers, and software engineers to translate business requirements into effective data solutions on marketplace quality, pricing parity & catalog completeness.
Mentor and Guide: Provide technical leadership and mentorship to junior data engineers/co-op interns, fostering a data-driven engineering culture.

Minimum Qualifications:

Over 3+ years of Software Engineering + Data Engineering expertise.
Demonstrated communication skills with a history of initiating and steering successful projects.
Hands-on development experience in at least one object-oriented language, Python or Java.
Expert SQL proficiency with proven competencies in designing well-architected data models, optimizing query performance, and documenting code.
Experience and strong knowledge of data warehousing concepts, big data technologies, and analytics platforms.
Experience implementing and owning enterprise BI tooling (Looker, Tableau, or similar visualization/dashboarding tool).
Experience working with DBT or similar analytics workflow tools, as well as airflow and git workflows
Project management experience.
Holds a BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range:

Toronto: the pay range for this role is $141,500 to $194,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire’s flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Faire employees have the flexibility to choose how they work–whether that’s mainly in the office, remotely, or a mix of both.

Roles that list only a country in the location are eligible for fully remote work in that country or in- office work at a Faire office in that country, provided employees are located in the registered country/province/state. Roles with only a city location are eligible for in-office or hybrid office work in that city. Our talent team will work with candidates to determine what locations and roles are eligible for each option.

Applications for this position will be accepted for a minimum of 30 days from the posting date.

Why you’ll love working at Faire

We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Salt Lake City, Atlanta, Toronto, London, New York, LA, and Sao Paulo. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

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