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. 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 software and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of leading teams and collaborating with key stakeholders to execute on company-wide data initiatives.
- Work with leadership and technical leads to develop and execute an enterprise-wide strategic vision for Core Data Platform.
- Optimize processes for operational excellence in project management and system reliability.
- Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
- Lead the technical execution for the team and assist in defining architecture, feature requirements, data model design and data quality/model output test planning.
- Ensure security standards are met within data systems and workflows.
- Ensure and promote data quality standards for accurate and reliable insights.
- 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
San Francisco: the pay range for this role is $209,500 to $288,000 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.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)
