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 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.
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
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.
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
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
