Tech Stack

Description

You will own the business logic and architect the 'Gold' data layer, transforming raw data into clean, validated tables using software engineering practices like version control, automated testing, and CI/CD. Your work will ensure the data warehouse is a trusted single source of truth, empowering decision-making across Product, Finance, and GTM teams.

Requirements

• 3+ years in Analytics Engineering, Data Engineering, or technical Data Analyst role
• Degree in Computer Science, Mathematics, Statistics, or related quantitative field
• Expert-level SQL proficiency for efficient, maintainable code
• Hands-on experience with dbt/Coalesce and modern cloud data warehouses like Snowflake or BigQuery
• Familiarity with Git, pull request workflows, and command-line interfaces

Responsibilities

• Develop and maintain scalable data models using dbt/Coalesce to transform raw data into production-ready schemas
• Collaborate with Data Engineering and Data Analytics to align technical architecture with business logic and reporting
• Implement automated testing, data documentation, and observability frameworks for single source of truth
• Optimize SQL queries and warehouse configurations for performance and cost management
• Maintain version control workflows, CI/CD pipelines, and coding standards across the data team