Principal Software Engineer, Agentic Data Pipelines

Fdetimes; Bellevue (WA); On-site; USD 180,000 - 280,000; Full time

Job summary

Snowflake is seeking a Principal Software Engineer to own the agentic pipelines responsible for fast, scalable data engineering at cloud scale. You will shape streaming and transformation primitives used by data engineers and scientists, influencing architecture and reliability across multi-tenant workloads.

Your experience in distributed systems and leadership will guide cross-team investments, architectural reviews, and collaboration with product and field teams to deliver impactful,

Qualifications

• 15+ years of experience designing, building, and operating large-scale distributed data systems.
• Deep expertise in stream processing, declarative query execution, pipeline orchestration, or data transformation at scale.
• Strong CS fundamentals: distributed systems, algorithms, fault tolerance, consistency models.
• Proficiency in C++ or Java; systems-level reasoning for latency and throughput.
• Ability to lead cross-team initiatives from architecture to production at petabyte scale.

Responsibilities

• Define and drive the technical direction for Snowflake's core data engineering and streaming primitives.
• Identify and lead multi-quarter investments in performance, scalability, correctness, and reliability.
• Partner with product, research, and engineering to co-design primitives across the data stack.
• Run architectural reviews and set the technical bar for design documents and feedback.
• Collaborate with customers and field teams to understand real-world usage and prioritize what matters next.
• Contribute to Snowflake's technical reputation through external talks or research publications.

Skills

Distributed data systems

C++ or Java

Leadership across teams

Performance & scalability

Cross-team collaboration

Written & verbal communication

Education

MS or PhD in Computer Science

Tools

Flink

Kafka

Spark

Job description

Snowflake is seeking a Principal Software Engineer to own the agentic pipelines responsible for fast, scalable data engineering at cloud scale. You will shape streaming and transformation primitives used by data engineers and scientists, influencing architecture and reliability across multi-tenant workloads.

Your experience in distributed systems and leadership will guide cross-team investments, architectural reviews, and collaboration with product and field teams to deliver impactful,