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Salary: USD 196,000 - 269,500 / annual
Faire is a technology wholesale platform connecting independent retailers globally with suppliers. The Ads business is one of Faire's fastest-growing segments, and the Ads Data team is entering a period of hypergrowth.
As a Senior Product Analytics Engineer, you will own the end-to-end ads data foundation and models. You will partner closely with cross-functional teams in Product, Engineering, ML Applied Sciences, and Strategy & Analytics to support product launches and roadmaps by designing and building data capabilities that inform and drive insights.
Key responsibilities include:
- Lead the design, implementation, and optimization of end-to-end scalable data pipelines and models for the ads domain, defining architecture, feature requirements, and roadmap
- Collaborate with engineers, product managers, S&A, and ML applied scientists to translate business requirements into production-grade data systems and insights
- Build and maintain data infrastructure, pipelines, and models that ensure data quality, consistency, and accessibility for analytical workflows
- Redefine how the company builds, maintains, and scales data systems by embedding AI into daily workflows
- Mentor team members on best practices for scalable data engineering and quantitative problem-solving
- Ensure and promote data quality standards for accurate and reliable insights
- Embrace emerging technologies with enthusiasm
You will see a direct link between your work, company growth, and user satisfaction. The role emphasizes 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.
Workplace: Hybrid, 3 days per week in office (Tuesdays, Thursdays, and one flex day), with flexibility to work remotely up to 4 weeks per year.
QUALIFICATIONS:
- 4+ years of experience in analytics and data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases (preferred experience within Ads domain)
- 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
- Bachelor's or Master's degree in Computer Science, Math, Physics, or a related technical field
