21 hours ago
Brisbane, AustraliaSenior
Responsibilities
- Present Snowflake’s AI Data Cloud vision and product capabilities to executive and technical audiences.
- Lead tailored demos, enterprise proofs of concept, solution design, and implementation planning throughout the sales cycle.
- Partner with Account Executives and channel partners to plan and win competitive enterprise deals.
- Analyze customer architectures and map them to Snowflake data architecture, including open lakehouse patterns with Apache Iceberg tables.
- Develop retail and telecommunications use cases including customer 360, demand forecasting, personalization, churn prediction, and secure data collaboration.
- Build senior C-suite relationships and connect customer business problems to Snowflake solutions.
- Collaborate 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.
- Experience working with retail or telecommunications organizations, including their data, business drivers, and stakeholders.
- Excellent presentation skills with technical and executive audiences.
- Ability to build and own senior C-suite relationships.
- Broad experience with large-scale database and data warehouse technology, ETL, analytics, cloud platforms, Data Lake, Data Mesh, and Data Fabric patterns.
- Hands-on SQL, SQL analytics, and Python skills.
- 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 or telecommunications data 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.
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.