Snowflake PARTNER SOLUTIONS ENGINEER 

Indonesia, Jakarta Special Capital Region 

431419039

This role requires travel up to 40% within ASEAN throughout the quarter to support partner engagement such as enablement, deal support and marketing events

AS A SENIOR PARTNER SOLUTIONS 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 SENIOR PARTNER SOLUTIONS ENGINEER WILL HAVE:

• Providing technical product and deep architectural expertise & latest product capabilities with our Partner Solution Architect community based in Indonesia and ASEAN countries.

• Staying current with the latest Snowflake product updates and best practices

• 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

• Experience with database technologies

• 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