3 days ago
Melbourne, AustraliaSenior
Responsibilities
- Present Snowflake’s AI Data Cloud vision and demonstrate Snowflake Cortex AI, Snowpark, and Snowflake Horizon to executive and technical audiences.
- Lead hands-on solution engineering across the sales cycle, including tailored demonstrations, enterprise proofs of concept, solution design, and implementation planning.
- Partner with Account Executives and channel partners to plan and win competitive deals with new Retail and Telecommunications customers.
- Analyze customer architectures and map them to Snowflake’s data architecture, including open lakehouse patterns with Apache Iceberg tables.
- Develop industry use cases including customer 360, demand forecasting, personalization, churn prediction, data collaboration, Snowflake Marketplace, and secure data sharing.
- Track competing and complementary technologies and work with Product Management, Engineering, and Marketing to improve products and messaging.
Requirements
- 10+ years of relevant industry experience, ideally in pre-sales or solution engineering.
- Proven experience working with Retail or Telecommunications organizations, including their data, business drivers, and stakeholders.
- Excellent presentation skills with technical and executive audiences, including whiteboarding and demonstrations.
- Ability to build and own senior C-suite relationships.
- Broad experience with large-scale databases, data warehouses, ETL, analytics, cloud platforms, and Data Lake, Data Mesh, and Data Fabric patterns.
- Hands-on SQL, SQL analytics, and Python skills.
- Ability to connect customers’ business problems to Snowflake’s solutions.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
- Experience with global systems integrators such as EY, Deloitte, or Accenture is a bonus.
- Familiarity with retail data such as POS, loyalty, supply chain, and ecommerce, or telco data such as OSS/BSS, network telemetry, and subscriber analytics is a bonus.
- Hands-on experience building generative AI or ML solutions is a bonus.
- A Master’s degree in Data Science or Business Administration is a bonus.
Benefits
- The position is based in Melbourne, Australia.
- The role offers collaboration with leading Australian Retail and Telecommunications companies and exposure to Snowflake’s AI Data Cloud.
- Salary and benefits information for US jobs is available on the Snowflake Careers Site; no specific benefits are stated for this role.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.