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Snowflake PARTNER SOLUTIONS ENGINEER Indonesia, Jakarta Special Capital Region 431419039
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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
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