---
title: 'Principal Software Engineer II - Next-Gen Data Transformations at Snowflake'
canonical: 'https://feeny.ai/job/principal-software-engineer-ii-next-gen-data-transformations-snowflake-bellevue-8bn7b3s4dhw1'
type: 'job'
last_seen: '2026-09-11'
---

# Principal Software Engineer II - Next-Gen Data Transformations at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Bellevue, WA
- **Compensation:** $304k–$437k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-01
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/snowflake/f991db58-6bc1-40b2-a1b9-97d4d2b20a83/application

**Skills:** Distributed Systems, Stateful Stream Processing, Incremental View Maintenance, Distributed Transactions, Query Execution Internals, Systems Programming, Python, Spark, Database Systems Internals

> Architect the core data processing engine and distributed systems for Snowflake's Data & AI Cloud. Design fundamental transformations infrastructure, including stateful stream processing engines and materialization internals, to support agentic AI and autonomous agents at scale.

## Job description

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. We are hiring a Principal Engineer II to architect the core data processing engine of the Snowflake Data & AI Cloud. At Snowflake, we believe that high-performance, unified compute fabrics are the indispensable building blocks for Agentic AI. Autonomous agents require more than just models; they require a high-fidelity, low-latency state layer to reason, act, and persist context. This role is not about building traditional data processing pipelines or legacy ETL/ELT workflows; it is about building the core distributed systems and atomic primitives that make those agentic workflows possible. In this role, you will be a lead architect of the Snowflake Data Transformation Engine. You will design and implement the fundamental transformations infrastructure—Stateful Stream Processing Engines, Incremental View Maintenance Engine, Materialization Internals, and the Distributed Orchestration Fabric. Our solid foundation supporting the seamless transition for enterprises between batch and streaming through Dynamic Tables, Streams & Tasks, and DBT Projects is the starting point. Your architectural work will extend the reach of the core engine to accelerate and support the massive scale of the Snowpark and Spark ecosystems. You are building the systems that allow both data engineers and autonomous agents to process exabytes of data with sub-second state propagation and absolute transactional integrity across the Snowflake Data Cloud. As a Principal Engineer II, you will own the technical vision for the Data Transformation umbrella of capabilities. Your work on streaming internals and declarative state management provides the architectural substrate for high-performance customer features processing. This foundational technology is engineered to drive low-latency, high-throughput data transformations at a massive scale to empower enterprises to build and scale complex applications, including autonomous agentic loops. This infrastructure enables our broader ecosystem to operate on live, governed data, ensuring that the core engine primitives we build translate directly into superior data freshness and processing efficiency for every customer. AS A PRINCIPAL SOFTWARE ENGINEER II AT SNOWFLAKE YOU WILL:

- Architect 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.
- Build 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.
- Innovate 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.
- Displace 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 our customers.
- Engineer 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.
- Drive 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 burgeoning Model Context Protocol (MCP), autonomous agent ecosystems and modern Python and Spark data processing workflows.
- Drive 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, ensuring our processing primitives meet the real-world demands of the global Data Cloud.
- Ensure Operational Excellence: Take responsibility for the operational readiness of the services, meeting the strict commitments to our customers regarding reliability, availability, and performance.

OUR IDEAL PRINCIPAL SOFTWARE ENGINEER II WILL HAVE:

- 14+ years of industry experience building database systems internals, distributed systems internals, or large-scale data processing engines.
- Strong 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
- Mastery of Systems Programming: Deep expertise in stateful stream processing, incremental view maintenance, distributed transactions, and query execution internals.
- Infrastructure-First Mindset: You are a systems builder. You prefer building the Operating System and the Engine rather than the application or the end-user pipeline.
- Distributed Systems Expertise: Proven track record of solving complex problems in consensus, replication, and high-concurrency environments at cloud scale.
- Ecosystem Awareness: A deep understanding of the architectural limitations of traditional orchestration and data processing tools, and a vision for how to solve those challenges through native Snowflake system design.
- Collaborative Leadership: Ability to work in a globally distributed environment, collaborate across product and engineering boundaries, and mentor senior and junior engineers alike.

WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE? You will build the industry-leading Cloud Data and AI Platform. This is not just about maintaining a product; it is about innovating with rigor to solve the hardest problems in distributed 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)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

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