Position Details
About this role
This role involves architecting the core data transformation engine for Snowflake's Data & AI Cloud, focusing on real-time processing, system internals, and enabling agentic AI workflows.
Key Responsibilities
- Architect core data transformation systems
- Design and implement streaming kernels
- Ensure transactional integrity
- Lead system internals development
- Enable agentic AI workflows
Technical Overview
Technical scope includes distributed systems, stream processing, incremental view maintenance, transactional integrity, and cognitive computing within Snowflake's cloud environment.
Ideal Candidate
The ideal candidate is a senior engineering leader with over 10 years of experience designing core data processing engines and distributed systems. They possess strategic vision, leadership skills, and expertise in real-time, low-latency data systems, especially in the context of AI and cognitive computing.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of software engineering experience, No experience with distributed or streaming systems, Lack of leadership in architecture design, Unfamiliarity with data transformation engines
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