Data Analytics Engineer
Core
Design, develop, and maintain scalable Corporate Metrics data assets (including ARR) and semantic layers to enable data-driven decision-making and AI-driven analytics.
Role type
Senior Analytics Engineer (Corporate Metrics)
Builds
Corporate Metrics data mart, semantic layers, and Databricks jobs for internal/external reporting
Domain
SaaS / Corporate Finance / Data Engineering
Required skills
SQL (DDL/DML), Dimensional Data Modeling (Kimball, Star/Snowflake), Databricks, Python, Semantic Layer design, Data Governance, DevOps (GitHub/Azure DevOps)
Preferred skills
AI-assisted development tools (Claude/ChatGPT), Salesforce/Data Warehouse migrations, Automated data quality testing frameworks
Technologies
Databricks, SQL, Python, GitHub, Azure DevOps
Responsibilities
Design and maintain dimensional data models and data pipelines for Corporate Metrics; Build semantic layers for AI/natural language access; Collaborate with stakeholders to translate business requirements into technical specs; Manage release processes and ensure SOX/GDPR compliance; Troubleshoot and optimize data assets.
Seniority
Senior, hands-on IC