Senior Software Engineer (Data Platform)

TL;DR

Senior Software Engineer (Data Platform): Designing and implementing scalable, high-throughput data processing systems for Snowflake's core infrastructure with an accent on distributed systems principles and cloud-scale reliability. Focus on building real-time and batch data pipelines, driving architectural evolution, and mentoring team members to maintain high engineering standards.

Location: Hybrid role based in Berlin, Germany

Company

Snowflake is a cloud-based data platform provider powering the era of the agentic enterprise through innovative data transformation and AI-native solutions.

What you will do

• Design and implement scalable, high-throughput data processing systems for cloud-scale operations.
• Build and maintain real-time and batch data pipelines while driving architectural evolution.
• Own features end-to-end from system design and implementation to production observability.
• Make architectural decisions that shape the future of the data transformation layer.
• Partner cross-functionally with product, infrastructure, and data science teams.
• Mentor junior engineers through code reviews and technical guidance.

Requirements

• 5+ years of software engineering experience in distributed systems, data infrastructure, or backend platforms.
• Strong foundation in distributed systems principles including consistency, replication, and fault tolerance.
• Proficiency in Java, Scala, Python, or C++ with a track record of delivering production systems.
• Demonstrated experience designing and operating large-scale data systems or cloud-native platforms.
• Ability to lead complex technical projects independently with minimal direction.
• Must be based in or able to work from the Berlin office in a hybrid capacity.

Nice to have

• Hands-on experience with Apache Flink or Apache Spark.
• Experience with Apache Kafka, data lakehouse architectures, or SQL engine internals.
• Familiarity with AI-augmented engineering practices using LLMs and GitHub Copilot.
• Contributions to open-source data infrastructure projects.

Culture & Benefits

• Opportunity to work on core infrastructure powering a global data platform.
• Emphasis on low-ego collaboration and experimental mindset.
• Focus on AI-native development and innovative engineering practices.
• Fast-paced environment with significant impact on product architecture.