About this roleAds is one of the fastest-growing and most strategically important parts of Faire's business, and the Ads Data team - now three years old - is entering a period of hypergrowth. As a product analytical 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 (S&A) 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.
Join us and be part of a team that values data-driven innovation and excellence.
What you'll 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 the design, implementmentation, and optimization of end-to-end and scalable data pipelines and models for a domain defining the architecture, feature requirements, 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 we build, maintain, and scale data systems by embedding AI into our 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.
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. Preferred experiences 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.
California: the pay range for this role is $196,000 to $269,500 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.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and 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.
