Principal Software Engineer II, Data Platform (Streaming, Dynamic Tables and more)

Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily 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; raise the engineering bar.

Partner closely with product and infrastructure leadership on roadmap and direction.

Continuous hands-on technical deliverables in the most critical areas.

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.