Senior Product Analytics 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, 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. 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. 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. Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners. Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap. Build data pipelines with rigorous approaches to data quality, validation, testing, and observability. Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows. Optimize processes for operational excellence in project management and system reliability. Ensure security standards are met within data systems and workflows. Ensure and promote data quality standards for accurate and reliable insights. Embrace emerging technologies with enthusiasm. Minimum qualifications 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases. Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders. Production-level development experience in Python. Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance. Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms. Experience with Airflow, Docker, DBT or similar analytics workflow tools. BA/BS degree in Computer Science, Math, Physics, or a related technical field. Salary Range California: the pay range for this role is $192,000 to $264,000 per year. Canada: the pay range for this role is $168,000 to $231,000 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 uses Artificial Intelligence (AI) to screen and select applicants for this position. This job posting is for an existing vacancy. Applications for this position will be accepted for a minimum of 30 days from the posting date. Hybrid Work 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. 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. 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. #J-18808-Ljbffr Dormont Manufacturing Co