This role requires travel up to 50% within Australia and New Zealand throughout the quarter to support partner engagement such as enablement, deal support and marketing events
AS A PARTNER SALES ENGINEER, YOU WILL:
- Collaborate with partners to develop Snowflake solutions in customer engagements. You will be working with our partners to create assets and demos, build hands-on POCs and pitch Snowflake solutions.
- Help Solution Providers/Practice Leads with the technical strategies that enables them to sell their offerings on Snowflake
- Keeping Partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits
- Run technical enablement programs to provide best practices, and solution design workshops to help Partners create effective solutions.
- Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging. Sharing customer success stories & case studies to showcase the impact of Snowflake.
- Strong understanding of how Partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services
- Conversations with other technologists, providing presentations at the C-level.
OUR IDEAL PARTNER SALES ENGINEER WILL HAVE:
- Have a total of 10+ years of relevant experience
- Experience working with Global System Integrators (GSIs) within the region.
- Develop data domain thought leadership within the partner community.
- Providing technical product and deep architectural expertise & latest product capabilities with our Partner Solution Architect community based in Australia and New Zealand
- Hands on experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems.
- Experience with integration platforms like Alation, FiveTran, Informatica, dbtCloud etc are plus
- Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build
- Strong experience with major cloud platforms and tooling, especially Azure or AWS, or Google Cloud
- Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc.
- Experience with AI/ML use cases is a plus