Senior Analytics Engineer - GTM

Faire•San Francisco, CA

2h•Hybrid

About The Position

Faire is seeking a Senior Analytics Engineer with a passion for using data and AI to shape the future of their Go-to-Market (GTM) strategy, sales, and operations. This role is a technical ownership position within the team, requiring close collaboration with Revenue Operations, GTM Systems Engineers, Data Scientists, Product Analysts, and Software Engineers. The primary focus is to support revenue-driving GTM initiatives by designing and building scalable data capabilities that inform and drive insights. A key aspect of this role will be leveraging AI to streamline data pipeline development and operations, improve GTM data consumption workflows (e.g., Snowflake, BI tools, Salesforce), and automate routine analytical tasks. The successful candidate will see a direct link between their work, company growth, and user satisfaction, working with rich data sets and cutting-edge technology to impact products and SMBs regularly. The team values data-driven innovation and excellence.

Requirements

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.
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.
BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Nice To Haves

Experience with GTM specific data modeling using a BI tool such as Looker or similar while leveraging conversational analytics. Build and own the GTM semantic layer.
Hands-on experience with GTM-specific data and platform apps, including Reverse ETL (e.g., Hightouch), ELT/Ingestion tools (e.g., Fivetran), iPaaS/Integration platforms (e.g., Workato, N8N, Zapier), and CRM/GTM systems and tool (e.g., Salesforce, Clay).

Responsibilities

Lead 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 GTM domain defining the architecture, data requirements, and roadmap (e.g., Contact Scoring, Lead Qualification, Sales Pipeline, Sales Enablement).
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.