Staff Analytics Engineer

About Faire

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, but individually, they are small compared to these massive entities. 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

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our Core Data Infrastructure team to work closely with Product and Strategy Analysts, Data Scientists, and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier 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.

Join us and be part of a team that values data-driven innovation and excellence.

Job Description & What You Will Do

The ideal candidate will possess a perfect blend of data modeling and analytics expertise, along with strong skills in developing and supporting large-scale, high-performance data pipeline systems. You should have a proven track record of leading projects and collaborating with key stakeholders to execute on company-wide data initiatives. 

  • Lead cross-team and/or multi-phase projects from design through implementation. 
  • Collaborate with technical and non-technical stakeholders, bridging the gap between business problem and technical solution.
  • Own and champion cross functional, centralized "crown jewel" data assets that answer Faire's most critical operational questions, reinforcing them as Source of Truth across the organization. 
  • Develop scalable data models that enable performant analysis for Faire's business. 
  • Codify and democratize best practices for SQL query optimization/reusability and reporting. . 
  • Define team-wide coding standards, documentation requirements and development processes (code reviews, testing requirements, etc).
  • Embrace emerging technologies with enthusiasm.

Minimum qualifications

  • 5+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
  • Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
  • Production-level development experience in Python.
  • Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
  • Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
  • Experience implementing and owning enterprise BI tooling (Looker, Tableau, or similar visualization/dashboarding tool).
  • Experience with Airflow, Docker, DBT or similar analytics workflow tools.
  • Familiarity/exposure to distributed/streaming processing frameworks.
  • BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

Canada: the pay range for this role is $184,000 to $253,000 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.

This role will be in-office on a hybrid schedule - Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays, effective the week of January 13, 2025. Additionally, in-office roles will have the flexibility to work remotely up to 4 weeks per year.

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 Toronto, London, and New York. 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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Canada Demographic Questions

We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful.  

Below is a set of completely voluntary demographic questions that are a part of our Diversity and Inclusion initiatives.  All responses are anonymous, self-disclosed and will be kept confidential. Responses will be securely stored and will not be used to identify any individual employee.  If you choose to fill out these questions, the responses will be used (in aggregate only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not, in any way, be used in the hiring decision. 

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