About the roleAre 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. In this role, you’ll see a direct link between your work, company growth, and user satisfaction.What You Will DoLead 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 qualifications4+ 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.Robust 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 RangeToronto: 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 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 prospect 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://bit.Ly/faire-form).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 (https://www.Faire.Com/privacy).#J-18808-Ljbffr

📌 Senior Product Analytics Engineer - C$168,000 - C$231,000 A Year (Winnipeg)
🏢 Faire
📍 Winnipeg