AI-Driven Analytics Engineer: Scale Data Pipelines

Faire; San Francisco (CA); Hybrid; USD 196,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Faire is seeking a data analytics leader to shape the future of product features for SMBs. You will partner with Data Scientists, Analysts and Engineers to design data capabilities that inform roadmaps and drive insights.

You'll lead cross-functional projects, build scalable data pipelines, and embed AI into workflows while ensuring data quality, security and operational excellence at scale.

Qualifications

• 4+ years in analytics & data engineering with data modeling and large-scale data processing.
• Proven ability to lead projects across multiple stakeholders.
• Production-level Python development and strong SQL skills.

Responsibilities

• Lead cross-team and multi-phase data projects from design through implementation.
• Build scalable data models and pipelines for architecture and feature roadmap.
• Create data pipelines with data quality, validation, testing and observability.
• Embed AI into daily workflows and optimize data system operations.
• Ensure data security and reliability across systems.

Skills

Python

SQL

Data modeling

Data warehousing

Big data

Leadership

Cross-functional collaboration

Education

BA/BS in CS/Math/Physics

Tools

Airflow

Docker

DBT

Job description

Faire is seeking a data analytics leader to shape the future of product features for SMBs. You will partner with Data Scientists, Analysts and Engineers to design data capabilities that inform roadmaps and drive insights.

You'll lead cross-functional projects, build scalable data pipelines, and embed AI into workflows while ensuring data quality, security and operational excellence at scale.