Prinicpal Software Engineer - Transformation Primitives

Навыки

• Airflow
• BigQuery
• Коммуникация
• C++
• Databricks
• dbt
• Распределённые системы

О компании и продукте

• We build the core data engineering primitives that power Snowflake's streaming and transformation capabilities. From the constructs customers use to define real-time pipelines to the execution fabric that makes those pipelines reliable and cost-efficient at cloud scale, our team owns the full stack of declarative data engineering. We're a small, high-ownership team operating close to the product — which means your decisions ship, your architecture matters, and your fingerprints are on some of the most-used features in Snowflake's data engineering portfolio.
• 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

Задачи

• Define and drive the technical direction for Snowflake's core data engineering and streaming transformation primitives, spanning Streams, Tasks, Dynamic Tables, and adjacent pipeline constructs
• Identify and lead multi-quarter technical investments — performance, scalability, correctness, and reliability — translating ambiguous problem spaces into concrete engineering plans with measurable outcomes
• Partner with product, research, and peer engineering teams to co-design primitives that compose cleanly across the data engineering stack
• Operate as a force multiplier: run architectural reviews, set the technical bar for design documents, and help engineers grow through high-quality feedback and sponsorship
• Work directly with customers and field teams to understand real-world usage patterns
• use that signal to prioritize what matters next
• Contribute to Snowflake's technical reputation — through internal design influence, external talks, or research publications in the data engineering space
• BUILD CORE DATA ENGINEERING PRIMITIVES AT CLOUD SCALE
• Data pipelines are foundational infrastructure — when they're fast, correct, and maintainable, customers build on them with confidence
• If you've spent the bulk of your career building large-scale data infrastructure — designing streaming or transformation primitives, reasoning hard about consistency and fault tolerance, and owning the systems that run under millions of customer workloads — this role might be for you
• You'll be working on the streaming and transformation layer at Snowflake: the constructs that define how customers move, shape, and maintain data
• AI has a real presence in this work — in how customers use these pipelines and in how we think about building them — but the core job is hard distributed systems engineering, and that's what we're hiring for

Требования

• 15+ years of experience designing, building, and operating large-scale distributed data systems
• Deep expertise in at least one core area: stream processing, declarative query execution, pipeline orchestration, or data transformation at scale
• Strong computer science fundamentals — distributed systems, algorithms, fault tolerance, and consistency models
• Proficiency in C++ or Java
• comfort with systems-level reasoning (latency, throughput, resource efficiency at cloud scale)
• Demonstrated ability to lead cross-team technical initiatives from blank-page architecture through production at petabyte scale across thousands of concurrent workloads
• Strong written and verbal communication skills
• ability to represent complex technical trade-offs clearly to engineering, product, and leadership audiences
• Hands-on background in streaming or event-driven systems (Flink, Kafka, Spark Structured Streaming)

Будет плюсом

• Experience with a major analytical DBMS (Snowflake, BigQuery, Redshift, Databricks, Teradata)
• Familiarity with the broader data engineering ecosystem: dbt, Airflow, Fivetran, Iceberg, Delta Lake
• Experience with CDC, change propagation, or incremental computation patterns
• Advanced degree (MS or PhD) in Computer Science, with emphasis on database or distributed systems
• 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

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