Snowflake01.04.2026

Principal Software Engineer II - Next-Gen Data Transformations

Полная занятостьОфис

Обязанности

  • 01Architect Foundation Primitives for Agentic AI Data Engineering: Design the internal engines for Dynamic Tables, Streams, and Tasks, ensuring the underlying processing kernels provide the elastic, serverless foundation required for real-time agentic reasoning.
  • 02Build the Data Transformation Processing Fabric: Develop the low-level infrastructure for automated triggers and incremental processing logic, allowing the Snowflake engine to proactively manage, optimize, and process incoming data without manual intervention.
  • 03Innovate in System Internals: Drive the long-term roadmap for stateful streaming, moving the industry toward a freshness-first system architecture where data is always ready for model consumption.
  • 04Displace Legacy Orchestration Layers: Identify how to build superior, native processing capabilities directly within the Snowflake engine to eliminate the complexity of external schedulers, simplifying the architectural scaffolding for customers.
  • 05Engineer for Global Scale and Governance: Design and implement highly reliable, multi-tenant system internals that handle exabytes of data while maintaining Snowflake’s industry-leading standards for resource isolation, security, and distributed consistency.
  • 06Drive Technical Strategy for the AI Era: Provide technical leadership to senior management and multiple departments, influencing how Snowflake’s core compute fabric evolves to support the Model Context Protocol (MCP), autonomous agent ecosystems and modern Python and Spark data processing workflows.
  • 07Drive Customer Success through Direct Engagement: Partner with Snowflake’s most strategic customers and field engineering teams to translate massive-scale architectural challenges into core engine requirements.
  • 08Ensure Operational Excellence: Take responsibility for the operational readiness of the services, meeting strict commitments to customers regarding reliability, availability, and performance.

Требования

  • 0114+ years of industry experience building database systems internals, distributed systems internals, or large-scale data processing engines.
  • 02Strong Technical Leadership: Operates as a broad architect, setting architectural direction, mentoring senior engineers, and establishing technical standards for large cross-product initiatives, coupled with exceptional ability to navigate organizational complexity, align multiple teams, and drive cross-functional decisions spanning multiple teams.
  • 03Mastery of Systems Programming: Deep expertise in stateful stream processing, incremental view maintenance, distributed transactions, and query execution internals.
  • 04Infrastructure-First Mindset: Prefers building the Operating System and the Engine rather than the application or the end-user pipeline.
  • 05Distributed Systems Expertise: Proven track record of solving complex problems in consensus, re