---
title: 'Senior Solutions Engineer - Perth at Snowflake'
canonical: 'https://feeny.ai/job/senior-solutions-engineer-perth-snowflake-perth-4pxkggkhhc6t'
type: 'job'
last_seen: '2026-09-04'
---

# Senior Solutions Engineer - Perth at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Perth, Australia
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-08
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/snowflake/f458b4f8-d57b-4fb7-bc7d-1933b2881679/application

**Skills:** SQL, Python, ETL/ELT, Data Warehouses, Data Lakes, Analytics, Cloud-native data platforms, AI and machine learning deployment workflows, AWS, Azure, Google Cloud, Tableau, Power BI, Large-scale database technologies, Enterprise SaaS

> Join Snowflake's ANZ field team in Perth as a Senior Solutions Engineer to partner with Sales and drive technical wins for enterprise accounts. You will demonstrate the Snowflake AI Data Cloud, lead discovery sessions, and guide customers on modern data architecture and AI/ML solutions.

## 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.

## SENIOR SOLUTIONS ENGINEER — PERTH

Snowflake is growing fast, and we are looking for a Senior Solutions Engineer to join our ANZ field team in Perth. In this role, you will partner closely with Sales, Product, Engineering, and Marketing to help customers understand, evaluate, and realise the value of the Snowflake AI Data Cloud.

This role is aligned to a major enterprise account in the Perth market and is well suited to a strong technical operator who combines customer-facing confidence with practical execution capability. While data architecture depth remains important, this role is especially suited to someone who can build trust on the ground, drive technical progress within complex customer environments, and help uncover new opportunities over time. Experience or strong interest in AI and machine learning deployment workflows will be highly regarded.

You will bring strong technical expertise, customer engagement skills, and the ability to connect business challenges to modern data and AI solutions. You should be comfortable presenting to senior stakeholders, leading discovery sessions, building demos, running proofs of concept, and guiding customers on architecture and implementation approaches.

AS A SENIOR SOLUTIONS ENGINEER AT SNOWFLAKE, YOU WILL:

- Partner with account executives and cross-functional teams to drive the technical win across the sales cycle
- Present Snowflake’s vision, platform, and value to technical and executive audiences
- Work hands-on with prospects and customers to demonstrate the value of Snowflake through discovery, demonstrations, workshops, and proof-of-concept engagements
- Guide customers on modern data architecture, solution design, and implementation considerations across analytics, data engineering, AI/ML, performance, and governance
- Translate customer business challenges into practical solution patterns that drive adoption and long-term value
- Develop trusted relationships with architects, engineers, platform teams, and business stakeholders within strategic enterprise accounts
- Maintain an understanding of competitive and complementary technologies and position Snowflake effectively in relation to them
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products, messaging, and field effectiveness
- Help customers stay current on Snowflake product innovation, roadmap developments, and emerging use cases
- Represent Snowflake at customer meetings, executive briefings, workshops, and industry events

OUR IDEAL SENIOR SOLUTIONS ENGINEER WILL HAVE:

- 10+ years of experience in a customer-facing solutions engineering, sales engineering, solution architecture, or technical pre-sales role
- Strong competency across modern data stacks, including ETL/ELT, data warehouses, data lakes, analytics, and cloud-native data platforms
- Experience working with enterprise customers in complex technical and stakeholder environments
- Strong hands-on technical capability, including SQL and Python
- The ability to connect a customer’s technical and business challenges to a practical Snowflake solution
- Excellent presentation and communication skills, with the ability to engage both technical and executive audiences
- Confidence facilitating whiteboarding sessions, technical workshops, and solution discussions
- A pragmatic, collaborative approach and willingness to be hands-on in driving customer success
- Strong relationship-building capability, professional presence, and the ability to simplify technical concepts into structured business narratives.

## STRONGLY DESIRED:

- Experience with AI and machine learning deployment workflows
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with business intelligence and data visualisation tools such as Tableau or Power BI
- Experience with large-scale database technologies and cloud data platforms
- Background in enterprise SaaS and complex technical sales cycles
- University degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience

## WHAT SUCCESS LOOKS LIKE IN THIS ROLE

- You quickly establish credibility with technical teams and key stakeholders across the account
- You bring a practical, execution-oriented style that helps move opportunities forward
- You translate Snowflake capabilities into clear business and technical value
- You create technical champions and trusted relationships within the customer environment
- You contribute to both immediate deal progression and the long-term growth of the account

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

- [Strategic Events Specialist, EMEA](https://feeny.ai/job/strategic-events-specialist-emea-snowflake-london-e0aktq37y0hh) — London, United Kingdom
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-sydney-x4rdpkcc3yzd) — Sydney, Australia
- [AI Research Scientist, New Grad – Agents & Reinforcement Learning](https://feeny.ai/job/ai-research-scientist-new-grad-agents-reinforcement-learning-snowflake-bellevue-a87enzz636zr) — Bellevue, WA
- [Principal Business Operations Manager, Ops & AI Tooling](https://feeny.ai/job/principal-business-operations-manager-ops-ai-tooling-snowflake-menlo-park-cv7r8zmydckx) — Menlo Park, CA
- [Senior Software Engineer - Cloud Efficiency](https://feeny.ai/job/senior-software-engineer-cloud-efficiency-snowflake-bellevue-nd411k1s2v4a) — Bellevue, WA
- [Head of Marketing, GCC](https://feeny.ai/job/head-of-marketing-gcc-snowflake-bangalore-8j4b1v6w8eyq) — Bangalore, India
- [Enterprise Account Executive - Expansion](https://feeny.ai/job/enterprise-account-executive-expansion-snowflake-stockholm-dqa3xyhzth4f) — Stockholm, Sweden
- [Senior Cloud Support Engineer](https://feeny.ai/job/senior-cloud-support-engineer-snowflake-tokyo-mjkx9212eavf) — Tokyo, Japan
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-6zrwry1jdaw4) — Tokyo, Japan
- [Senior Software Engineer - Cloud Security](https://feeny.ai/job/senior-software-engineer-cloud-security-snowflake-menlo-park-sj8s5qyrkvgq) — Menlo Park, CA