3 months ago
Berlin, GermanySenior
Responsibilities
- Design and implement scalable, high-throughput data processing systems operating at cloud scale.
- Build and maintain real-time and batch data pipelines.
- Drive architectural evolution and day-to-day operational excellence.
- Own features from system design and implementation through testing, deployment, and production observability.
- Make architectural decisions and contribute to long-term technical roadmaps for Snowflake’s data transformation layer.
- Partner with product, infrastructure, and data science teams to define requirements and deliver capabilities.
- Write clean, well-tested, production-quality code and uphold engineering quality standards.
- Mentor junior engineers through code reviews, design discussions, and technical guidance.
Requirements
- 5+ years of software engineering experience focused on distributed systems, data infrastructure, or backend platforms, or equivalent experience.
- BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong knowledge of distributed systems principles including consistency, replication, fault tolerance, and data partitioning.
- Proficiency in Java, Scala, Python, or C++ with experience delivering production systems at scale.
- Experience designing and operating large-scale data systems or cloud-native platforms.
- Ability to lead complex technical projects independently with minimal direction.
- Hands-on experience with Apache Flink and/or Apache Spark is a bonus.
- Experience with Apache Kafka, data lakehouse architectures, or SQL engine internals is a bonus.
- Familiarity with AI-augmented engineering practices using LLMs, GitHub Copilot, or similar tools is a bonus.
- Contributions to open-source data infrastructure projects are a bonus.
Tech Stack
Categories
BackendData Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.