Senior Software Engineer, Data Transformation
Primary stack
Nice to have's
Job description
About the Position
Senior Software Engineer, Data Transformation
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.
Location
Berlin, Germany
Employment Type
Full time
Department
Engineering
About the Role
We are hiring a Senior Software Engineer for our Data Platform team - the team that owns the core streaming execution and database internals powering Snowflake's platform. You'll work deep in the stack: stream processing runtimes, query execution engines, storage layers, and the distributed systems primitive that everything else is built on.
Responsibilities
As a Software Engineer, Data Platform at Snowflake, you will:
- Design and implement high-throughput stream processing systems with strong correctness guarantees - exactly-once semantics, out-of-order event handling, low-latency execution
- Work on database internals - query execution, operator design, storage engine components, or transaction processing at cloud scale
- Own features and systems end-to-end: design, implementation, testing, deployment, and production observability
- Drive architectural decisions that shape the long-term evolution of Snowflake's streaming and core platform layers
- Mentor engineers through design reviews, code reviews, and technical guidance
- Partner across product, infrastructure, and research teams to deliver high-impact, foundational capabilities
Requirements
Our ideal candidate will have:
- 5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure, or database internals (or equivalent, including research)
- BS/MS/PhD in Computer Science or related field - graduate research in streaming systems, query processing, or database engines is a strong differentiator
- Deep expertise in distributed systems: consistency, fault tolerance, replication, state management
- Hands-on experience with stream processing systems - building, operating, or extending them (industry or academic)
- Proficiency across multiple languages such as Java, Scala, C++, and Python, with a track record of production systems at scale
- Proficiency with AI-native software engineering and agentic development workflows
- Ability to lead complex technical projects independently with minimal direction
Bonus Points For
- Experience with stream processing engine internals (e.g., state backends, checkpointing, runtime, or operator development) in systems like Apache Flink, Spark Structured Streaming, or similar.
- Experience with SQL engine internals: query optimization, execution plan design, storage formats, or transaction layers
- Published research or thesis work in streaming, real-time query processing, or distributed computation
- Contributions to open-source data infrastructure or database systems
- Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD)
- Familiarity with formal verification
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
We Offer
- Competitive salary
- Opportunity to work in a dynamic and innovative environment
- Professional growth and development opportunities
- Collaborative and inclusive company culture
About the Company
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.
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
© Snowflake. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Cloud Computing,Data Management,Artificial Intelligence
About the Company Snowflake is a cloud-native data platform launched in 2012 by a team of data experts who identified limitations in traditional databases. The company has a strong presence in Poland, with a technical hub in Warsaw. Snowflake offers an international work environment with opportunities for skill development and collaboration with industry experts. Products, Services & Tech Stack Core Solutions: Data processing and management platform. Technologies & Frameworks: Specific technologies and frameworks are not detailed in the provided text. Project Scope & Target Clients Client Base: Not specified. Engineering Scale: Not specified.
More at Snowflake
All 358 rolesSenior Data Scientist - Product
Snowflake · United States
Account Executive, Enterprise Acquisition
Snowflake · United States
Solution Engineer
Snowflake · Japan
Account Executive - Expansion
Snowflake · Netherlands