Senior Solution Engineer, Enterprise Acquisition

About the role

Snowflake is looking for a Senior Solution Engineer to join its Enterprise Acquisition team in Melbourne. You will help close large deals with new retail and telecommunications customers, working with sales and channel partners from first discovery through proof of concept to a signed business.

Key responsibilities

• Present Snowflake's AI Data Cloud vision to executives and technical teams at retail and telco prospects, highlighting Snowflake Cortex AI, Snowpark and Snowflake Horizon.
• Work hands-on through the sales cycle: tailored demos, enterprise proofs of concept, solution design and implementation planning.
• Work with Account Executives and channel partners to plan and win competitive deals with new customers.
• Dive into customer architectures and map them to Snowflake's data architecture, including open lakehouse patterns with Apache Iceberg tables.
• Build retail and telco use cases such as customer 360, demand forecasting, personalisation, churn prediction and data collaboration through Snowflake Marketplace and secure data sharing.
• Stay current on competing and complementary technologies and position Snowflake clearly against them.
• Work with Product Management, Engineering and Marketing to improve Snowflake's products and messaging.

Required profile

• 10+ years of relevant industry experience, ideally in pre-sales or solution engineering.
• Proven experience with retail or telecommunications organisations, including their data, business drivers and stakeholders.
• University degree in computer science, engineering, mathematics or a related field, or equivalent experience.
• Bonus points: experience with global systems integrators such as EY, Deloitte or Accenture; familiarity with retail data (POS, loyalty, supply chain, ecommerce) or telco data (OSS/BSS, network telemetry, subscriber analytics); hands-on experience building generative AI or ML solutions; a Master's in Data Science or Business Administration.

Required skills

• Broad experience with large-scale database and data warehouse technology, ETL, analytics and cloud platforms, including Data Lake, Data Mesh and Data Fabric patterns.
• Hands-on SQL, SQL analytics and Python.
• Excellent presentation skills with technical and executive audiences.
• Ability to build and own senior C-suite relationships.