Job Description
Solutions Engineer
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Snowflake is growing fast, and we are looking for a Solutions Engineer to help customers understand, evaluate, and realise the value of the Snowflake AI Data Cloud.
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What you will do
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Partner with account executives and cross‐functional teams to drive the technical win across the sales cycle.
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Present Snowflake's vision, platform, and value to both technical and executive audiences.
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Work hands‐on with prospects and customers through discovery sessions, demonstrations, workshops, and proof‐of‐concept engagements.
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Guide customers on modern data architecture, solution design, and implementation approaches across analytics, data engineering, AI/ML, performance, and governance.
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Translate customer business challenges into practical solution patterns that drive adoption and long‐term value.
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Build trusted relationships with architects, engineers, platform teams, and business stakeholders within strategic accounts.
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Maintain an understanding of competitive and complementary technologies and position Snowflake effectively in relation to them.
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Collaborate with Product Management, Engineering, and Marketing to improve Snowflake's products, messaging, and field effectiveness.
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Help customers stay current on Snowflake product innovation, roadmap developments, and emerging use cases.
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Represent Snowflake in customer meetings, executive briefings, workshops, and industry events.
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What we're looking for
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Experience in a customer‐facing solutions engineering, sales engineering, solution architecture, or technical pre‐sales role.
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Strong competency across modern data stacks, including ETL/ELT, data warehouses, data lakes, analytics,



and cloud‐native data platforms.
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Experience working with enterprise customers in complex technical and stakeholder environments.
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Strong hands‐on technical capability, including SQL and Python.
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Ability to connect a customer's technical and business challenges to a practical Snowflake solution.
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Excellent communication and presentation skills, with the ability to engage both technical and executive audiences.
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Confidence facilitating whiteboarding sessions, technical workshops, and solution discussions.
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A pragmatic, collaborative approach and a willingness to be hands‐on in driving customer success.
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Robust relationship‐building capability and the ability to simplify complex technical concepts into clear business narratives.
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Nice to have
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Experience with AI and machine learning deployment workflows.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud.
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Familiarity with business intelligence and data visualization tools such as Tableau or Power BI.
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Experience with large‐scale database technologies and cloud data platforms.
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Background in enterprise SaaS and complex technical sales cycles.
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A degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience.
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What success looks like
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You establish credibility quickly with technical teams and key stakeholders.
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You translate Snowflake capabilities into clear business and technical value.
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You create technical champions and trusted relationships within the customer environment.
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You contribute to immediate deal progression as well as long‐term account growth.
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📌 Solution Engineer (New South Wales)
🏢 Snowflake
📍 New South Wales