Staff Software Engineer — Dynamic Tables, Performance

Навыки

• Airflow
• BigQuery
• Коммуникация
• C++
• Data Lake
• Databricks
• dbt

О компании и продукте

• Dynamic Tables (DTs) are Snowflake's declarative streaming transformation primitive. Customers define a SQL query and a freshness target; Snowflake handles the rest: orchestrating refreshes, maintaining snapshot consistency https://dl.acm.org/doi/10.1145/3722212.3724455 across a DAG of dependencies, and automatically incrementalizing https://dl.acm.org/doi/10.1145/3589776 the computation so that cost scales with what changed. Dynamic Tables is one of the fastest growing products at Snowflake and is a core part of Snowflake’s Data Engineering strategy.
• The Dynamic Tables performance team is responsible for making incremental refresh fast, predictable, and cost-efficient across increasingly complex query shapes. As a Staff Engineer on this team, you will own the technical direction for critical performance initiatives and be a force multiplier for the engineers around you.
• 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.

Задачи

• Lead the design and implementation of performance improvements to the incremental view maintenance engine, including multi-join incrementalization, novel incrementalization semantics, incremental window functions, and stacked operations
• Help define the roadmap for the incremental view maintenance engine, identifying key performance, scalability, and correctness milestones, prioritizing high-impact enhancements, and aligning technical investments with product and research goals
• Collaborate across teams to co-design improvements that benefit incremental pipelines
• Mentor engineers, drive design reviews, and raise the technical bar for the team through architectural leadership and high-quality code
• Contribute to the research and publication roadmap
• the team has an active presence at top-tier database conferences (SIGMOD, VLDB)

Требования

• 10 + years of experience building and optimizing large-scale data systems, with deep expertise in at least one of: query optimization, incremental/stream processing, or materialized view maintenance
• Strong computer science fundamentals — algorithms, data structures, and distributed systems design
• Proficiency in C++ or Java
• experience with systems-level performance analysis (profiling, benchmarking, regression detection)
• Demonstrated ability to lead multi-engineer, cross-team technical initiatives and translate ambiguous problem spaces into concrete engineering plans
• Experience operating systems at cloud scale (multi-tenant SaaS, petabyte-scale data, thousands of concurrent workloads)
• Strong written and verbal communication skills
• ability to present complex technical trade-offs to both engineering and product audiences

Будет плюсом

• Experience with a major analytical DBMS (BigQuery, Redshift, Databricks, Teradata, Oracle, SQL Server)
• Familiarity with stream processing algorithms
• Experience with CDC pipelines, data lake architectures (Iceberg, Delta), or the broader data engineering ecosystem (dbt, Airflow, Fivetran)
• Advanced degree (MS or PhD) in Computer Science, with emphasis on database systems
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
• Snowflake employees must abide by the company’s data security plan as an essential part of their duties
• It is every employee's duty to keep customer information secure and confidential
• 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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