Senior Analytics Engineer - Retailer Growth
Required skills
- data modeling
- large-scale data processing
- tool development
- Python
- SQL
- data warehousing
- ETLs
- big data technologies
- analytics platforms
- data quality
Nice to have
- AI
- Airflow
- Docker
- DBT
- data pipeline development
- data consumption workflows
Role summary
Faire is seeking a Senior Analytics Engineer to lead data and AI initiatives for their SMB product features. This role involves designing and building data capabilities, leveraging AI to enhance productivity and streamline operations. The ideal candidate will have a blend of analytics and data engineering expertise, with experience in large-scale data systems, data modeling, Python, and SQL. Responsibilities include leading cross-functional projects, building scalable data models and pipelines with a focus on quality and testing, and optimizing system reliability. The position requires 4+ years of experience in analytics & data engineering roles and a BS/BS degree in a technical field. Faire offers a hybrid work model and competitive compensation.
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. 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 businesses can grow and local communities can thrive.
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 and AI 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 team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve data consumption workflows, and automate routine analytical tasks. 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.
What You Will Do
The ideal candidate will possess a perfect blend of analytics 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 collaborating with key stakeholders to execute on company-wide data initiatives.
Minimum qualifications
Salary Range
California: the pay range for this role is $196,000 to $269,500 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.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
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. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Sample Faire interview questions
- 1
Design a framework for instant customer feedback processing.
system designmedium - 2
Design a system for storing and serving images/videos.
system designmedium - 3
Design a scalable system for processing e-commerce transactions in real time.
system designmedium - 4
Build a real-time system for video stream object detection.
system designmedium - 5
How would you architect a scalable face recognition system for a large-scale surveillance network?
system designmedium
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