Solutions Engineer

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.

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 both technical and executive audiences.
- Work hands‑on with prospects and customers 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.
- Build trusted relationships with architects, engineers, platform teams, and business stakeholders within strategic 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 in customer meetings, executive briefings, workshops, and industry events.

What we’re looking for

- 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.
- Robust relationship‑building capability and the ability to simplify complex technical concepts into clear business narratives.

Nice to have

- 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.

What success looks like

- You establish credibility quickly with technical teams and key stakeholders.
- You translate Snowflake capabilities into clear business and technical value.
- You create technical champions and trusted relationships within the customer environment.
- You contribute to immediate deal progression as well as long‑term account growth.

#J-18808-Ljbffr

📌 Solution Engineer (City of Sydney)
🏢 Snowflake
📍 City of Sydney