Description

You will own the data architecture, pipeline development, and platform implementation for content enrichment systems.

Responsibilities

• Define and evolve data architecture to support core platform solutions and content enrichment.
• Design data architectures with appropriate performance and cost characteristics for various project stages.
• Implement and maintain critical data infrastructure components as a hands-on developer.
• Support steady-state data operations, including schema changes, ensuring reliability and maintainability.
• Use agentic AI to prototype, stress-test, and implement key architectural setups.

Required Skills

• 5+ years of experience in data engineering and architecture.
• Strong expertise in data architecture and pipeline development.
• Experience with schema management and data migration strategies.
• Proficiency in performance optimization for data systems.
• Practical experience integrating AI into data workflows.
• Ability to make minimal, targeted architecture decisions based on current needs.

Key Skills

Education

Any Graduate