---
title: 'Solutions Architect at Snowflake'
canonical: 'https://feeny.ai/job/solutions-architect-snowflake-israel-567n0rbf89y0'
type: 'job'
last_seen: '2026-09-11'
---

# Solutions Architect at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Israel
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-03-09
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/snowflake/440ec976-a307-4575-abab-554aef8151a4/application

**Skills:** Snowflake, SQL, Python, AI/ML, Machine Learning Operations (MLOps), Generative AI, LLM, ETL, Data Analytics, BI Tools, Data Security, Prompt Engineering, Database Technology, Java, Spark, Netezza, Exadata, Teradata, Greenplum, Data Warehousing

> The Solutions Architect acts as a trusted advisor to customers, translating business requirements into technical solutions for the Snowflake platform. This role involves designing AI/ML architectures, implementing Snowflake solutions, and driving product adoption of Snowflake's AI suite while providing technical lea...

## 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. Snowflake Services Delivery is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimise, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures and guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augment their business. We advise everyone from developers through senior executives on how best to utilise Snowflake for their data and AI tool suite to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of data and AI.

AS A SNOWFLAKE SOLUTIONS ARCHITECT YOU WILL :

- Customer Engagement & Advisory
- Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches
- Extract business requirements from customers and translate them into a well-architected recommendation
- Develop and provide forward-looking guidance and future-state roadmaps
- Leverage known best practices and solutions to reduce risk to customer implementations
- Collaborate with Snowflake “Go to Market” teams and product teams to ensure customer alignment to Snowflake goals
- Technical Leadership & Architecture
- Oversee and advise on the implementation of the customer’s Snowflake platform
- Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations
- AI/ML Solutions & ML Ops
- Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform, ensuring scalability and performance
- Provide customers with standard practices and advice related to AI/ML workloads in Snowflake
- Define and advise on MLOps (Machine Learning Operations) standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment
- Product Adoption
- Drive the adoption of Snowflake’s AI product suite (e.g., Cortex, Streamlit in Snowflake, Snowflake Intelligence) within customer solutions
- Experience replatforming AI/ML workloads to Snowflake in line with business and operational requirements
- Coach and guide customers on how to best leverage Snowflake’s AI product suite to unlock new business value

THE IDEAL CANDIDATE FOR A SOLUTIONS ARCHITECT WILL HAVE :

- BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
- 3 years of technical consulting experience
- Experience in a lead role for analytics projects for large enterprises
- Experience implementing and operating Snowflake centric solutions
- Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
- Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring
- Familiarity with AI/ML and Transformation technologies
- Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale
- Proven experience with developing generative AI and LLM use cases
- Familiarity with industry common BI and ETL solutions
- Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
- Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
- Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
- Familiarity with prompt engineering techniques

AS A BONUS, A STRONG CANDIDATE WILL ADDITIONALLY HAVE :

- Hands-on experience or significant familiarity with building and managing AI/ML workloads
- Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer
- Experience in the services organization of a product company
- Experience in a leadership position executing technical projects
- Application Development experience
- AWS, Google or Microsoft Cloud certification(s)
- Snowflake Snowpro Advanced Certification(s)

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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