About the role

Role Overview

Extend is hiring a Principal Data Engineer to help own the analytics data architecture. The work powers reporting, financial processes, and business decisions across the company, and supports the data that merchants and downstream systems rely on.

This is a hands-on technical leadership role focused on Snowflake and SQL, with end-to-end ownership of a portfolio of Python data jobs running on AWS.

Responsibilities

Data Warehouse & Reporting Layer Ownership
- Own the data warehouse and the reporting layer on top of it
- Define patterns for how data is modeled, evolved, and exposed
Analytics Engineering
- Write and maintain SQL and dbt models
- Refactor transformations and build the tables/views downstream teams rely on
Cross-Functional Partnership
- Partner with teams across the company to understand how data is created and used
- Identify gaps and guide solutions
- Serve as the connective tissue between product engineering, architecture, analytics, and stakeholders
Data Flow & Collaboration
- Partner with product engineering and architecture on data flowing upstream into Snowflake
- Bridge to analytics engineering and stakeholders on the consumption side

Requirements

Strong hands-on expertise anchored in Snowflake and SQL
Ability to lead analytics data architecture and evolve a warehouse/reporting layer
Proven experience building and maintaining transformation layers with dbt

Nice-to-haves

Technical leadership experience spanning analytics engineering and data platform design
Experience operating Python data pipelines on AWS

About Extend

Extend provides AI-driven solutions that improve the post-purchase experience for retailers and their customers. Its platform automates customer service, returns/exchanges, fulfillment, shipping and product protection, and fraud detection to help merchants increase revenue while reducing costs. The company serves 1,000+ merchant partners across multiple industries.