About the job
About Faire
Faire is a dynamic online wholesale marketplace driven by the conviction that the future is local. Independent retailers across the globe are generating more revenue than Walmart and Amazon combined. However, individually, they appear small next to these retail giants. At Faire, we harness the power of technology, data, and machine learning to bridge the gap for this vibrant community of entrepreneurs worldwide. Imagine your beloved local boutique — we assist them in discovering the finest products from around the globe to stock in their stores. With the right tools and insights, we empower small businesses to compete with large-scale retailers and e-commerce platforms.
By fostering the growth of independent businesses, Faire is making a positive economic impact in communities everywhere. We are in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you value community, we invite you to become part of ours.
About this Role:
Our Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams at Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, enabling them to excel without the worry of underlying infrastructure. We empower product engineering teams to develop and operate software with unmatched speed and quality, emphasizing good engineering practices, superior developer experience, security, testability, maintainability, and scalability to support millions of users. We are committed to best practices that ensure exceptional availability and performance.
The Analytics Platform team is tasked with building capabilities that enhance data-driven analytics, boosting productivity and accuracy at Faire. Our goal is to minimize the time from data collection to actionable insights.
The team concentrates on the following areas and capabilities:
- Optimization of data warehousing, including performance, efficiency, and cost
- Establishment of data quality, metadata enrichment, lineage, and privacy capabilities
- Development of tools and capabilities to enhance the productivity of analytics experts and automate analytics functions
- Creation of development patterns and practices for foundational assets
- Incorporation of data security, privacy, and governance elements
Additionally, the team manages relationships with select infrastructure vendors.

