Snowflake
Senior Software Engineer - Dynamic Tables
- Jenis pekerjaan
- Penuh waktu
- Lokasi
- DE-Berlin-Trion Building
- Dipublikasikan
- 31 Agu 2026
- Terakhir diperiksa
- 26 Okt 2026
Tentang posisi ini
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We’re hiring talented Senior Software Engineers for the Snowflake Dynamic Tables team in Berlin, Germany. Join us to build the next generation data platform that enables customers to transform data with declarative SQL while maintaining control over cost, latency, and throughput. We are looking for strong engineers who are enthusiastic about building new cutting-edge technologies, who look forward to tackling complex database problems and pick up and understand deep technical areas quickly.
AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
- Work with a talented and collaborative team of engineers and Product Managers in our globally distributed team to define the capabilities and technical designs for Dynamic Tables
- Interact with customers to understand their needs, and synthesize those into product and technical roadmaps
- Have responsibility and authority for driving new capabilities and performance improvements from inception to landing
- Build highly reliable and performant software that holds up under the reliability and scale demands of the largest enterprise customers
- Analyze and solve performance, correctness, and fault-tolerance challenges at scale