Solution Engineer
On-siteMelbourne, Victoria, Australia
Job Summary
Partner with account executives and cross-functional teams to drive technical wins across the sales cycle. Present Snowflake's vision, platform, and value to both technical and executive audiences through discovery sessions, demonstrations, workshops, and proof-of-concept engagements. Guide customers on modern data architecture, solution design, and implementation approaches across analytics, data engineering, AI/ML, performance, and governance. Translate customer business challenges into practical solution patterns that drive adoption and long-term value while building trusted relationships with architects, engineers, platform teams, and business stakeholders within strategic accounts. Collaborate with Product Management, Engineering, and Marketing to improve product messaging and field effectiveness, helping customers stay current on innovation and emerging use cases. Represent Snowflake in customer meetings, executive briefings, workshops, and industry events to position the platform effectively against competitive technologies.
Required Qualifications
- 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
- Ability to connect a customer's technical and business challenges to a practical Snowflake solution
- Excellent communication and presentation 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 a willingness to be hands-on in driving customer success
- Strong relationship-building capability and the ability to simplify complex technical concepts into clear business narratives
Desired Qualifications
- 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 visualization 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
- A degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience
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