Snowflake
Solution Engineering
SeniorSolutionsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Solutions Engineer at Snowflake. Skills: AI Data Cloud, Data architecture, AI/ML solutions. Partner with account executives. Drive technical win”
What You'll Achieve.
Establish credibility; Move opportunities forward; Translate capabilities; Create technical champions; Contribute deal progression; Contribute account growth
Industry & Context.
Solve problems; Accelerate impact; Connect business challenges; Translate challenges
What They're Looking For.
Must Have
10+ years solutions engineering, 10+ years sales engineering, 10+ years solution architecture, 10+ years technical pre-sales, Competency modern data stacks, Experience enterprise customers, Hands-on technical capability, SQL, Python, Connect technical challenges, Connect business challenges, Excellent presentation skills, Excellent communication skills, Facilitate whiteboarding sessions, Facilitate technical workshops, Facilitate solution discussions, Pragmatic approach, Collaborative approach, Relationship-building capability, Professional presence, Simplify technical concepts
Nice to Have
Experience AI deployment workflows, Experience ML deployment workflows, Experience AWS, Experience Azure, Experience Google Cloud, Familiarity BI tools, Familiarity data visualisation tools, Experience large-scale databases, Experience cloud data platforms, Background enterprise SaaS, Background complex technical sales, University degree computer science, University degree engineering, University degree mathematics, Equivalent practical experience
What You'll Do.
Partner with account executives
Present Snowflake vision
Present Snowflake platform
Present Snowflake value
Demonstrate Snowflake value
Conduct demonstrations
Conduct proof-of-concept engagements
Guide customers data architecture
Guide customers solution design
Guide customers implementation
Translate business challenges
Drive long-term value
Develop trusted relationships
Maintain understanding competitive technologies
Position Snowflake effectively
Collaborate with Product Management
Collaborate with Engineering
Collaborate with Marketing
Improve Snowflake products
Improve Snowflake messaging
Improve field effectiveness
Help customers stay current
Represent Snowflake customer meetings
Represent Snowflake executive briefings
Represent Snowflake workshops
Represent Snowflake industry events
How You'll Work.
Team & Collaboration
Cross-functional teams; Sales cycle; Technical audiences; Executive audiences; Architects; Engineers; Platform teams; Business stakeholders; Product Management; Engineering; Marketing; Technical teams; Key stakeholders
Communication Scope
Presenting; Communication; Whiteboarding sessions; Technical workshops; Solution discussions; Executive audiences; Technical audiences; Business narratives
Full 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 accoun
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