Director of Engineering, Data

📋 Description

• Own data platform end-to-end: ingestion, transformation, orchestration, ML/streaming
• Build scalable data onboarding for customers and partners to speed value
• Run data systems with production discipline: monitoring, SLAs, incidents
• Create data foundation for AI/ML inputs, training, and feature infra
• Establish governance: access controls, data classification, audit trails
• Hire, develop, and lead a high-performing data engineering team

🎯 Requirements

• 10+ years in data or software, scaling teams of 10+ engineers
• Hands-on with Snowflake/Databricks, dbt, Airflow; Kafka/Kinesis; AWS preferred
• Built data systems for production ML: feature stores, real-time inference
• Operational excellence in data: monitoring, SLAs, incident response, data quality
• Delivering customer-facing data products (reports, analytics, APIs) in B2B SaaS
• Architectural judgment: build vs buy, design for change, sequencing investments

🎁 Benefits

• Generous equity grant, become an owner in our company
• Comprehensive benefits package
• Flexible PTO and hybrid work schedules
• One-time work-from-home allowance
• Hubs in Los Angeles, San Francisco, Toronto, and Raleigh with hybrid schedules
• Company events and team-building activities