Senior Solution Engineer, Enterprise Acquisition

Posted Yesterday
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Sydney, New South Wales, AUS
In-Office
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Lead technical pre-sales for Snowflake’s enterprise retail and telecommunications customers in Sydney. Present AI Data Cloud solutions, conduct discovery, build tailored demos and proofs of concept, design solutions, and support implementation planning. Partner with Account Executives, channel partners, Product, Engineering, and Marketing to win complex deals. Apply expertise in data warehouses, cloud platforms, SQL, Python, data architecture, and AI/ML use cases while developing senior customer relationships.
Summary Generated by Built In

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 Solution Engineer, Enterprise Acquisition

We are looking for a Senior Solution Engineer to join our Enterprise Acquisition team in Sydney. You will solve complex problems and help close large deals with new Retail and Telecommunications customers. You'll work with sales and channel partners from first discovery through proof of concept to signed business.

AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:

  • Present Snowflake's AI Data Cloud vision to executives and technical teams at retail and telco prospects, showing the value of Snowflake Cortex AI, Snowpark and Snowflake Horizon

  • Work hands-on through the whole sales cycle: tailored demos, enterprise proofs of concept, solution design and implementation planning

  • Work with Account Executives and channel partners to plan and win competitive deals with new customers

  • Dig deep into customer architectures and map them to Snowflake's data architecture, including open lakehouse patterns with Apache Iceberg tables

  • Build retail and telco use cases such as customer 360, demand forecasting, personalisation, churn prediction, and data collaboration through Snowflake Marketplace and secure data sharing

  • Stay current on competing and complementary technologies and position Snowflake clearly against them

  • Work with Product Management, Engineering and Marketing to keep improving Snowflake's products and messaging

OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE:

  • 10+ years of relevant industry experience, ideally in pre-sales or solution engineering

  • Proven experience with Retail or Telecommunications organisations, including their data, business drivers and stakeholders

  • Excellent presentation skills with technical and executive audiences, whether on a whiteboard or in a demo

  • Ability to build and own senior C-suite relationships

  • Broad experience with large-scale database and data warehouse technology, ETL, analytics and cloud platforms, including Data Lake, Data Mesh and Data Fabric patterns

  • Hands-on SQL, SQL analytics and Python skills

  • Ability to connect a customer's specific business problems to Snowflake's solutions

  • A university degree in computer science, engineering, mathematics or a related field, or equivalent experience

BONUS POINTS FOR THE FOLLOWING:

  • Experience with global systems integrators (GSIs) such as EY, Deloitte or Accenture

  • Familiarity with retail data (POS, loyalty, supply chain, ecommerce) or telco data (OSS/BSS, network telemetry, subscriber analytics)

  • Hands-on experience building generative AI or ML solutions

  • A Masters in Data Science or Business Administration

WHY JOIN OUR TEAM AT SNOWFLAKE? Our Solution Engineers are customer obsessed, and we believe in the value we add and stay honest about it. We love to learn, are open to giving and receiving feedback, and care about making our customers successful. On the Enterprise Acquisition team, you will help bring Australia's leading retail and telecommunications companies onto the AI Data Cloud.

How do you want to make your impact?

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

Skills Required

  • 10+ years of relevant industry experience, ideally in pre-sales or solution engineering
  • Proven experience working with retail or telecommunications organizations
  • Excellent presentation skills for technical and executive audiences
  • Ability to build and own senior C-suite relationships
  • Broad experience with databases, data warehouses, ETL, analytics, cloud platforms, and Data Lake, Data Mesh, and Data Fabric patterns
  • Hands-on SQL, SQL analytics, and Python skills
  • Ability to connect customer business problems to Snowflake solutions
  • University degree in computer science, engineering, mathematics, or a related field, or equivalent experience
  • Experience with global systems integrators such as EY, Deloitte, or Accenture
  • Familiarity with retail data or telecommunications data
  • Hands-on experience building generative AI or machine learning solutions
  • Master's degree in Data Science or Business Administration

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is widely viewed as competitive and aligned with market value, with “fair pay” and top-tier total compensation frequently cited for engineering and technical roles.
  • Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering.
  • Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs.

Snowflake Insights

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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