Member of Data Staff (Analytics Engineer)

📋 Description

• Build the core data foundation - design and maintain high-quality data models, marts, and pipelines
• Manage the data warehouse - help own warehouse architecture, environments, permissions
• Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and
• Own data modeling standards - define and champion dbt patterns, dimensional modeling practices
• Lead data governance practices - define standards for access, ownership, lineage, documentation
• Build with security and privacy in mind - partner with engineering, security, legal, and finance

🎯 Requirements

• 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related
• Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in
• Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation
• Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines.
• Warehouse management experience - you've worked with warehouse administration, access patterns
• Governance mindset - you think clearly about data ownership, access controls, privacy, retention

🎁 Benefits

• Own the foundation - your work will determine how fast and confidently the company can use data.
• Build for humans and AI - the next generation of data infrastructure needs to be understandable by
• High leverage - better models, pipelines, and tools multiply every data scientist and every
• Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that