---
title: 'Senior Software Engineer, Data Transformation at Snowflake'
canonical: 'https://feeny.ai/job/senior-software-engineer-data-transformation-snowflake-berlin-dak5bx19q2wb'
type: 'job'
last_seen: '2026-09-04'
---

# Senior Software Engineer, Data Transformation at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Berlin, Germany
- **Employment:** full-time
- **Posted:** 2026-07-17
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/snowflake/f5a18952-6f69-4251-9b70-06dea70f2308/application

**Skills:** Java, Scala, Python, C++, Distributed systems, Data infrastructure, Backend platforms, Cloud-native platforms, Apache Flink, Apache Spark, Apache Kafka, Data lakehouse architectures, SQL engine internals, AI-augmented engineering practices, LLMs, GitHub Copilot, Open-source contributions

> Snowflake is hiring a Senior Software Engineer for its Data Platform team to design and implement scalable, high-throughput data processing systems. The role involves building real-time and batch data pipelines, owning features end-to-end, and mentoring junior engineers while shaping the future of the data transform...

## Job description

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.

## 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.

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

## 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 asJava, 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.

How do you want to make 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 http://careers.snowflake.com

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

## Other roles at Snowflake

- [Strategic Events Specialist, EMEA](https://feeny.ai/job/strategic-events-specialist-emea-snowflake-london-e0aktq37y0hh) — London, United Kingdom
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-sydney-x4rdpkcc3yzd) — Sydney, Australia
- [AI Research Scientist, New Grad – Agents & Reinforcement Learning](https://feeny.ai/job/ai-research-scientist-new-grad-agents-reinforcement-learning-snowflake-bellevue-a87enzz636zr) — Bellevue, WA
- [Principal Business Operations Manager, Ops & AI Tooling](https://feeny.ai/job/principal-business-operations-manager-ops-ai-tooling-snowflake-menlo-park-cv7r8zmydckx) — Menlo Park, CA
- [Senior Software Engineer - Cloud Efficiency](https://feeny.ai/job/senior-software-engineer-cloud-efficiency-snowflake-bellevue-nd411k1s2v4a) — Bellevue, WA
- [Head of Marketing, GCC](https://feeny.ai/job/head-of-marketing-gcc-snowflake-bangalore-8j4b1v6w8eyq) — Bangalore, India
- [Enterprise Account Executive - Expansion](https://feeny.ai/job/enterprise-account-executive-expansion-snowflake-stockholm-dqa3xyhzth4f) — Stockholm, Sweden
- [Senior Cloud Support Engineer](https://feeny.ai/job/senior-cloud-support-engineer-snowflake-tokyo-mjkx9212eavf) — Tokyo, Japan
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-6zrwry1jdaw4) — Tokyo, Japan
- [Senior Software Engineer - Cloud Security](https://feeny.ai/job/senior-software-engineer-cloud-security-snowflake-menlo-park-sj8s5qyrkvgq) — Menlo Park, CA