Job Specifications
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