Description

You will implement core components of our data platform, including data modeling, pipelines, and storage layers for AI features. You'll build operationally excellent systems with automated testing and robust failure handling, and partner with the Data team to execute technical strategies.

Requirements

• Experience building and shipping production-grade data systems in cloud environments
• Deep expertise in data modeling for complex domains prioritizing accuracy and reusability
• Proven ability to build durable systems handling backfills, schema changes, and distributed failures
• Pragmatic experience preparing data for machine learning workflows including retrieval-optimized structures
• Deep experience with cloud data platforms and technical judgment to choose appropriate storage/processing patterns

Responsibilities

• Implement core data platform components including data modeling, pipelines, and retrieval-ready storage
• Build operationally excellent systems with automated testing, observability, and robust failure handling
• Model complex business domains with clear entities, event histories, and reusable datasets
• Develop data foundations for AI features focusing on structured metadata, governance, and high-fidelity source data
• Maintain platform health through idempotent backfill patterns and managed schema evolution