Snowflake Computing

Staff Software Engineer - Dynamic Tables, Performance

Snowflake Computing • $150K — $180K *
Bellevue, WA 98006In-Person
Information Technology
8 - 10 years of experience
3 weeks ago
Job Overview by Ladders

Qualifications

  • 10+ years experience in large-scale data systems
  • Expertise in query optimization, incremental/stream processing, or materialized view maintenance
  • Strong fundamentals in algorithms and distributed systems
  • Proficient in C++ or Java with a focus on performance analysis
  • Demonstrated leadership in cross-team technical initiatives
  • Experience in operating systems at cloud scale

Responsibilities

  • Lead design and implementation of performance improvements for the incremental view maintenance engine
  • Define the roadmap for incremental view maintenance, prioritizing enhancements
  • Collaborate across teams to improve incremental pipelines
  • Mentor engineers and drive design reviews
  • Contribute to research and publication in database conferences

Benefits

  • Dynamic, fast-moving work environment
  • Opportunity to lead and redefine engineering practices
  • Exposure to top-tier database research conferences
  • Collaborative culture that emphasizes mentorship and technical growth
Full Job Description
  • Build the Future of Declarative Data Pipelines
    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 Dynamic Tables
    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 across a DAG of dependencies, and automatically incrementalizing 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.
    What You'll Do
    • 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).
    What We're Looking For
    • 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.
    Nice to Have
    • 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.

    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

About Snowflake Computing

Snowflake is a cloud-based data-warehousing company that was founded in 2012. The company provides a data platform that allows customers to store and analyze data using cloud-based infrastructure. Snowflake's platform is designed to be highly scalable and flexible, allowing customers to easily add or remove computing resources as needed. The company's customers include a wide range of businesses, from startups to Fortune 500 companies. Snowflake has received significant funding from investors and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Snowflake Computing
Size
2,037 employees
Market Cap
$44.9 billion
Industry
Information Technology
Net Income
-$539.1 million
Founded
2012
Revenue
$592 million
NASDAQ
SNOW
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Snowflake Computing

More Information Technology Jobs

Find similar Staff Software Engineer - Dynamic Tables, Performance jobs:

NationwideBellevue, WA