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Работа из офисаВысокая зарплатаТрендовый доменСовременный стекПонятный scope
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Backend Developer: Designing and operating large-scale distributed data systems focused on streaming and transformation primitives at cloud scale with an accent on performance, scalability, and reliability. Focus on leading multi-quarter technical initiatives, architectural design, and collaboration across product and engineering teams to build robust data engineering pipelines.
Location: On-site in Bellevue, Washington, United States
Salary: $264,000 – $379,500
Company
Snowflake is a leading cloud data platform powering the era of the agentic enterprise with a focus on AI-native innovation and scalable data infrastructure.
What you will do
Define and drive technical direction for core data engineering and streaming transformation primitives.
Lead multi-quarter technical investments focused on performance, scalability, correctness, and reliability.
Collaborate with product, research, and engineering teams to co-design data engineering primitives.
Conduct architectural reviews and provide high-quality feedback to engineers.
Engage with customers and field teams to prioritize based on real-world usage patterns.
Contribute to Snowflake's technical reputation through talks and research publications.
Requirements
Must have 15+ years of experience designing and operating large-scale distributed data systems.
Proficiency in C++ or Java and strong computer science fundamentals including distributed systems and fault tolerance.
Experience leading cross-team technical initiatives at petabyte scale.
Strong communication skills to represent complex technical trade-offs.
Location requirement: must work onsite in Bellevue, Washington, USA.
Nice to have
Experience with major analytical DBMS like Snowflake, BigQuery, Redshift.
Hands-on background in streaming/event-driven systems such as Flink, Kafka, Spark Structured Streaming.
Familiarity with data engineering ecosystem tools like dbt, Airflow, Fivetran.
Experience with CDC, change propagation, or incremental computation patterns.
Advanced degree (MS or PhD) in Computer Science focused on databases or distributed systems.
Culture & Benefits
Work in a fast-growing product company focused on innovation and AI-native thinking.
High-ownership team environment with impact on widely used data engineering features.
Collaborative culture emphasizing experimentation and rapid iteration.
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