Staff Data Engineer

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

Do you want to use data to help drive the direction of Faire's product features that impact small and medium businesses (SMB)? If yes, we want to talk to you. We're looking for a 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 building the data models and related pipelines 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.

Job Description & What You Will Do

The ideal candidate will have strong analytics engineering, an understanding of data infrastructure and data architecture skills, a proven track record of leading and scaling analytics engineering / business-initiatie teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision to lead the team.

• Develop and execute a strategic vision for the Core Data Infrastructure platform (BI and Data Warehousing) at the product pillar and enterprise levels.
• Optimize processes for operational excellence in project management and system reliability.
• Lead a scalable BI and Data Warehousing team, fostering collaboration with cross-functional teams.
• Oversee data warehouse plans, aligning them with strategic goals for various product pillars.
• Drive the design and deployment of new data models and pipelines to enhance data infrastructure.
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.
• Direct the delivery of impactful dashboards and data visualizations.
• Define and manage SLAs for data sets and processes in production, ensuring performance benchmarks are met

Minimum qualification

• Over 5+ years of Business Intelligence (BI) and Data Warehousing expertise.
• Proven track record in scaling and overseeing teams of 4+ individuals.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects.
• Hands-on development experience in at least one object-oriented language, Python or Java.
• Expert SQL proficiency with proven competencies in designing well-architected data models, optimizing query performance, and documenting code.
• Experience and strong knowledge of data warehousing concepts, big data technologies, and analytics platforms.
• Experience implementing and/or owning enterprise BI tooling (Looker, Tableau, or similar visualization/dashboarding tool).
• Experience working with DBT or similar analytics workflow tools, as well as airflow and git workflows
• Project management experience.
• Holds a BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

New York City*: the pay range for this role is $189,000 to $260,000 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. 

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