Responsibilities
- Drive technical strategy and architecture for Data Platform initiatives focused on real-time data movement and incremental processing.
- Lead design reviews and establish engineering standards across teams.
- Resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve dynamic table efficiency at cloud scale.
- Mentor and grow senior engineers and raise the engineering bar.
- Partner with product and infrastructure leadership on roadmap and direction.
- Deliver hands-on technical work in critical areas.
Requirements
- 14+ years of software engineering experience with deep expertise in distributed systems.
- A demonstrated track record of defining and delivering platform-scale technical initiatives.
- Expert-level knowledge of streaming and/or batch data systems such as Flink, Spark, or equivalent.
- Specialized knowledge of incremental materialization algorithms.
- Strong systems thinking across infrastructure, storage, compute, and APIs.
- 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 is desirable.
- Familiarity with Snowflake platform internals or cloud-native data systems is desirable.
- Experience with metadata systems, query optimization, or data catalog infrastructure is desirable.
- Contributions to open source, such as top-level Apache projects, are desirable.
Tech Stack
Categories
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.