Senior Analytics Engineer

Role Overview

As a Senior Analytics Engineer at Arbor Education, you will turn raw data into actionable insights that support product development and internal decisions. You’ll work at the intersection of data engineering and business logic, ensuring the company’s Snowflake data warehouse is robust and optimized for growth.

Key Missions

• Lead the development and ongoing maintenance of dbt-enabled data models, transforming raw data into the Silver and Gold layers of the Snowflake Medallion architecture.
• Build and optimize data structures that power customer-facing BI products, ensuring high performance and accuracy for external users.
• Architect and deliver high-quality datasets designed for consumption by core applications, AI features, and LLM-driven functionalities within the Arbor suite.

Requirements / Profile

• Strong experience building and maintaining dbt data models.
• Proven ability to design warehouse structures following a Medallion architecture (Silver/Gold) in Snowflake.
• Experience optimizing datasets for BI consumption with a focus on performance and correctness.
• Ability to architect datasets that support application/AI/LLM use cases.

Nice to Have

• Experience supporting AI- and LLM-driven data products.
• Experience scaling data models and warehouse performance for growth.