Solution Engineer (AI Data Cloud)

TL;DR

Solution Engineer (AI Data Cloud): Driving the technical win across the sales cycle by designing and demonstrating the value of the AI Data Cloud with an accent on modern data architecture and customer advocacy. Focus on translating complex technical challenges into practical solution patterns and building trusted relationships with enterprise stakeholders.

Location: Hybrid (Melbourne, Australia)

Company

Snowflake is a cloud-native data platform powering the era of the agentic enterprise through its AI Data Cloud.

What you will do

• 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.
• Lead discovery, demonstrations, workshops, and proof-of-concept engagements to showcase product value.
• Guide customers on modern data architecture, solution design, and implementation across analytics, AI/ML, and governance.
• Translate customer business challenges into practical solution patterns that drive adoption and long-term value.
• Collaborate with Product Management, Engineering, and Marketing to improve products and field effectiveness.

Requirements

• 6+ years of experience in customer-facing solutions engineering, sales engineering, or solution architecture.
• Strong competency across modern data stacks, including ETL/ELT, data warehouses, and cloud-native platforms.
• Hands-on technical proficiency in SQL and Python.
• Experience working with enterprise customers in complex technical and stakeholder environments.
• Excellent presentation and communication skills to engage both technical and executive audiences.

Culture & Benefits

• Experimental mindset that encourages rapid testing of emerging AI capabilities.
• Low-ego, dynamic, and fast-moving work environment.
• Focus on technical advocacy and extreme customer obsession.
• Collaborative culture that values feedback, continuous learning, and pushing the pace of innovation.