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About the Role

As a Principal Engineer on the Data Platform team, you will be a technical anchor, setting direction, solving complex engineering problems, and elevating the entire team. You will work at the intersection of systems design, long-term architecture, and engineering execution, leading the evolution of declarative data pipelines with a focus on streaming ingestion and transformations.

Responsibilities

• Drive the technical strategy and architecture for key Data Platform initiatives, focusing on real-time data movement and incremental processing.
• Lead design reviews and set engineering standards across teams.
• Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale.
• Mentor and grow senior engineers, raising the engineering bar.
• Partner closely with product and infrastructure leadership on roadmap and direction.
• Deliver continuous hands-on technical contributions in critical areas.

Requirements

• 14+ years of software engineering experience with deep expertise in distributed systems.
• Demonstrated track record of defining and delivering platform-scale technical initiatives.
• Expert-level knowledge of streaming and/or batch data systems (Flink, Spark, or equivalent), with specialized knowledge in incremental materialization algorithms.
• Strong systems thinking ability to reason across layers of complexity (infra, storage, compute, API).
• A passion for engaging directly with customers to gain insight and inspiration.
• Experience influencing technical direction across organizations.
• Excellent written and verbal communication for technical and executive audiences.
• Experience with AI-augmented development practices and integrating LLM-based tooling into engineering workflows.
• Familiarity with Snowflake platform internals or cloud-native data systems.
• Experience with metadata systems, query optimization, or data catalog infrastructure.
• Contributions to open source, such as top-level Apache projects.

Skills

• Distributed systems
• Streaming data systems
• Batch data systems
• Incremental materialization algorithms
• Systems thinking
• AI-augmented development
• LLM-based tooling
• Metadata systems
• Query optimization
• Data catalog infrastructure
• Open source contributions

Experience Level

• 14+ years of software engineering experience

About the Company

• Snowflake is powering the era of the agentic enterprise.
• We are looking for AI-native thinkers energized by the opportunity to reinvent how they work.
• We seek low-ego individuals who thrive in dynamic and fast-moving environments with an experimental mindset.
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.