---
title: 'Principal Software Engineer - Semantic Views at Snowflake'
canonical: 'https://feeny.ai/job/principal-software-engineer-semantic-views-snowflake-menlo-park-rsztyc80kfn7'
type: 'job'
last_seen: '2026-09-11'
---

# Principal Software Engineer - Semantic Views at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $264k–$380k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/snowflake/81f44bce-ec85-4674-b07e-1c9bda452788

## 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 the Snowflake Semantic Views team. We build the semantic layer at the core of the Snowflake platform — the system that lets customers define logical data models (tables, dimensions, metrics, and the relationships between them) once, and then query them consistently across BI tools, SQL, and AI agents. Semantic Views turn raw physical schemas into governed, reusable business definitions, so that "revenue," "active customer," or "gross margin" mean the same thing no matter who or what is asking. We own the semantic model itself, compiler elements and query rewriter that expand semantic queries into optimized SQL over petabyte-scale data, and the surfaces that expose this layer to Cortex Analyst and the broader agent ecosystem. Our work sits at the intersection of query language, metadata, and AI-driven analytics, and it is foundational to how Snowflake customers get trustworthy answers from their data.

As a Principal Software Engineer at Snowflake you will:

- Solve real business needs at large scale by applying your software engineering and analytical problem-solving skills.
- Design, develop, and support the semantic modeling layer that translates semantic queries into correct, high-performance SQL.
- Create architecture and design, influence the semantic layer roadmap, and take ownership over new capabilities spanning metrics, dimensions, relationships, and governance.
- Ensure semantic queries produce correct results while meeting the performance and scale demands of interactive analytics over petabyte-scale data.
- Partner with the Cortex and AI teams to make the semantic layer the reliable grounding source for natural-language and agent-driven analytics.
- Understand the trade-offs between expressiveness, correctness, performance, and cost, and build solutions that hold up as usage grows.
- Mentor and grow engineers, and raise the technical bar across the team.
- Ensure operational readiness of the features we ship and meet our commitments to customers on correctness, availability, and performance.

Our ideal Principal Software Engineer will have:

- 15+ years of industry experience designing, building, and supporting large-scale data or systems software.
- Strong computer science fundamentals including data structures, algorithms, and complexity analysis.
- Deep experience with at least one of: query compilation and optimization, database or query engine internals, semantic/metrics layers, or BI and analytics infrastructure.
- A strong grasp of SQL semantics and relational modeling, and an appreciation for why correctness of results is non-negotiable.
- Fluency in Java or another similar object-oriented language is preferred.
- A track record of identifying and implementing creative solutions to complex, ambiguous problems.
- Ability to work effectively across engineering teams in multiple locations.
- BS in Computer Science; Masters or PhD preferred.

Why join the engineering team at Snowflake?

- Build an industry-leading Cloud Data and AI Platform.
- Work on one of the most strategically important layers for both traditional BI and the emerging world of AI agents that query enterprise data.
- Solve challenging technical problems in query compilation, semantics, performance at scale, and correctness.
- Work closely with our customers and partners, understand their use cases and needs, and think strategically about the right problem to solve at the right time.
- Join a world-class team of both industry veterans and rising stars.

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

## Other roles at Snowflake

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- [Staff Technical Program Manager - Security](https://feeny.ai/job/staff-technical-program-manager-security-snowflake-menlo-park-wq8j55r9qq5p) — Menlo Park, CA
- [Engineering Manager](https://feeny.ai/job/engineering-manager-snowflake-menlo-park-hcb2t29d5htr) — Menlo Park, CA
- [Senior Manager, Technical Program Management - Security](https://feeny.ai/job/senior-manager-technical-program-management-security-snowflake-menlo-park-94cf3wxj9d56) — Menlo Park, CA
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