Snowflake

1 month ago

Senior Software Engineer, Data Transformation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Software Engineer, Data Transformation at Snowflake designs and builds scalable, high-throughput data processing systems at cloud scale. You’ll own end-to-end data pipelines (real-time and batch), drive architectural evolution, mentor engineers, and collaborate with product, infra, and data science teams to deliver high-impact capabilities on Snowflake’s core data transformation layer.

Location: Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design and implement scalable, high-throughput data processing systems that operate reliably at cloud scale.
•Build and maintain real-time and batch data pipelines, driving architectural evolution and day-to-day operational excellence.
•Own features end-to-end — from system design and implementation through testing, deployment, and production observability.
•Make architectural decisions that shape the future of Snowflake's data transformation layer and contribute to long-term technical roadmaps.
•Partner cross-functionally with product, infrastructure, and data science teams to define requirements and deliver high-impact capabilities.

Key Requirements

•5+ years of software engineering experience with a focus on distributed systems, data infrastructure, or backend platforms (or equivalent experience).
•BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
•Strong foundation in distributed systems principles: consistency, replication, fault tolerance, and data partitioning.
•Proficiency in Java, Scala, Python, or C++ — with a track record of delivering production systems at scale.
•Demonstrated experience designing and operating large-scale data systems or cloud-native platforms.

Experience:5+ yearsDistributed systemsData infrastructureBackend platformsCloud-native platforms

Education:Bachelor's

Skills:JavaScalaPythonC++Apache FlinkApache SparkApache KafkaSQLData lakehouseGitHub CopilotLLMsProduction systemsDistributed systems

Languages:English

Tech Stack:JavaScalaPythonC++Apache FlinkApache SparkApache KafkaSQLData lakehouseCloud-nativeLLMsGitHub Copilot

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

1 month ago

Senior Software Engineer, Data Transformation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design and implement scalable, high-throughput data processing systems that operate reliably at cloud scale.
•Build and maintain real-time and batch data pipelines, driving architectural evolution and day-to-day operational excellence.
•Own features end-to-end — from system design and implementation through testing, deployment, and production observability.
•Make architectural decisions that shape the future of Snowflake's data transformation layer and contribute to long-term technical roadmaps.
•Partner cross-functionally with product, infrastructure, and data science teams to define requirements and deliver high-impact capabilities.

Key Requirements

•5+ years of software engineering experience with a focus on distributed systems, data infrastructure, or backend platforms (or equivalent experience).
•BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
•Strong foundation in distributed systems principles: consistency, replication, fault tolerance, and data partitioning.
•Proficiency in Java, Scala, Python, or C++ — with a track record of delivering production systems at scale.
•Demonstrated experience designing and operating large-scale data systems or cloud-native platforms.

Experience:5+ yearsDistributed systemsData infrastructureBackend platformsCloud-native platforms

Education:Bachelor's

Skills:JavaScalaPythonC++Apache FlinkApache SparkApache KafkaSQLData lakehouseGitHub CopilotLLMsProduction systemsDistributed systems

Languages:English

Tech Stack:JavaScalaPythonC++Apache FlinkApache SparkApache KafkaSQLData lakehouseCloud-nativeLLMsGitHub Copilot

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn