Senior Analytics Engineer - Retailer Growth

About Faire

Faire is a technology wholesale platform connecting independent retailers with products from brands around the world, helping small businesses grow and local communities thrive.

About the Role

The Senior Analytics Engineer, Retailer Growth will act as a technical leader, partnering with Data Scientists, Product Analysts, and Software Engineers to support product launches and roadmaps through data capabilities that drive insights. The role will lead the use of AI to streamline data pipeline development and operations, improve data consumption workflows, and automate routine analytical tasks.

Responsibilities

• Lead cross-team and multi-phase projects from design through implementation, collaborating with cross-functional partners.
• Lead technical execution of scalable data models and pipelines for a domain, defining architecture, feature requirements, and roadmaps.
• Develop and support large-scale, high-performance data storage and processing systems.
• Build data pipelines with rigorous data quality, validation, testing, and observability practices.
• Embed AI into daily workflows to improve how data systems are built, maintained, and scaled.
• Optimize project management processes and system reliability for operational excellence.
• Ensure security standards are met within data systems and workflows.
• Promote data quality standards that support accurate, reliable insights.
• Embrace emerging technologies.

Minimum Qualifications

• At least 4 years of experience in analytics and data engineering, 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 Python development experience.
• Strong SQL skills, including designing well-architected data models and optimizing query performance.
• Deep knowledge and experience with data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT, or similar analytics workflow tools.
• BA/BS in Computer Science, Math, Physics, or a related technical field.

Compensation and Benefits

• California annual base salary range: $196,000–$269,500.
• Eligible for equity and comprehensive benefits.
• Actual base pay depends on transferable skills, work experience, market demands, and primary work location. The range may change.

Work Arrangement

Hybrid employees attend the office three days per week: Tuesdays, Thursdays, and a flexible third day on Monday, Wednesday, or Friday. Hybrid in-office roles may work remotely for up to four weeks per year.

Application Information

Reasonable accommodations are available throughout recruitment. Applicants may request accommodations through the Accommodation Request Form.

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