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 this role
Our Engineering organization owns the software that makes our marketplace work.
The Platform group empowers teams across Faire: Product Engineering, Data
Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these
functions to do their best work without concern about underlying infrastructure.
We enable product engineering teams to build and operate software with unmatched
speed and quality. We care about good engineering practices, excellent developer
experience, security, testability, ease of maintenance, and scaling to serve
millions of users. We value best practices to achieve excellent availability and
performance.
- The Data Infrastructure team builds and operates a secure, reliable,
cost-efficient, opinionated platform for data ingestion, storage, compute,
orchestration, and governance.
- The Analytics Platform team builds capabilities to accelerate data-driven
analytics, improve productivity and accuracy at Faire. Its mandate is to
reduce time from data to insights.
The teams focus on the following areas and capabilities:
- Cost-efficient storage for batch and streaming across multiple compute
engines
- Optimized compute environments and workflow orchestration
- ETL (extract, transform, load) and ELT (extract, load, transform) pipelines
- Data ingestion and warehousing
- Monitoring, alerting, and cost tracking for workloads
- Automation of analytics functions
- Data security, privacy, and governance
The teams also own relationships with select infrastructure vendors.
We’re looking for: An experienced engineer with data and analytics experience to
work alongside our highly talented team, develop and deliver technical projects,
and engage with other teams in the organization.
What you’ll do
- Plan and execute on technology projects that scale with our growth;
contribute to our architecture with a focus on data integrity, security,
performance, scale, reliability, monitoring/alerting.
- Engage with team planning and prioritization, balancing urgent and near-term
needs with long-term goals.
- Provide technical guidance and mentorship on difficult open-ended problems.
Qualifications
- Strong Python skills and experience.
- Experience building reliable, scalable workflow orchestration frameworks for
data and analytics use-cases.
- Experience with data pipelines, data warehousing, ETL/ELT, analytics is very
valuable.
- Thorough understanding of operational aspects: SLOs, observability,
infrastructure-as-code.
- Understanding of performance and cost trade-offs in cloud environments (e.g.
AWS, Snowflake, Kubernetes)
- Experience diagnosing, mitigating, and permanently addressing production
issues at scale
- Strong communication skills
- A bachelor's degree in Computer Science/Software Engineering or equivalent
industry experience
- Public cloud infrastructure (AWS preferred)
- Scaling high-volume, high-traffic systems
- Capacity <> cost tradeoffs
- Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python,
Kotlin
Salary range:
Canada: the pay range for this role is $156,000 - $214,500 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 2 days per week on Tuesdays
and Thursdays. Effective starting in January 2026, employees will be expected to
go into the office on 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.
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 [https://blog.faire.com/].
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://docs.google.com/forms/d/e/1FAIpQLSczpI9me7nYKhunSC6AlagHKv75LHqfi-Qi2TP_3dpin0Uc9Q/viewform]
(https://bit.ly/faire-form)
