Lead Data Architect

📋 Description

• Lead and execute complex, high-stakes analyses — deep-dive investigations, statistical modelling
• Guide and unblock the team on difficult technical problems: query optimization, data modeling
• Write advanced, performant SQL against large and complex datasets (multi-table joins, window
• Build and maintain robust data models and pipelines in partnership with Data Engineering, and know
• Apply statistical methods (experimentation/A-B testing, regression, cohort and trend analysis) to
• Design and build dashboards and reporting frameworks, knowing when a dashboard isn't enough and

🎯 Requirements

• 9+ years of hands-on data analysis experience, with demonstrated depth in complex, high-volume
• 2+ years leading or mentoring analysts on technically difficult work
• Expert-level SQL: window functions, query optimization, untangling large/messy schemas
• Experience with cloud data warehouse/lakehouse platforms such as Snowflake and Databricks
• Solid grounding in statistics — A/B testing, hypothesis testing, regression
• Experience with a BI/visualization tool (Tableau, Looker, Power BI)