Senior Partner Sales Engineer

1 week ago

London, Greater London, United Kingdom Snowflake Full time

About Snowflake

Snowflake is a leading cloud-based data platform that enables businesses to build a data-driven future. Our mission is to empower organizations to unlock the full potential of their data and drive business success.

About the Role

We are seeking a highly skilled and experienced Sales Engineer to join our EMEA Partner Sales Engineering team. As a Sales Engineer, you will play a critical role in developing and maintaining relationships with our Regional System Integrators (RSIs) in the UK market.

Key Responsibilities

  • Stay current with the latest Snowflake product updates and best practices
  • Run training sessions, workshops, and webinars to help UK RSIs become proficient in Snowflake
  • Be an advocate for your partners to the Snowflake account teams
  • Support our partners when engaged in customer opportunities
  • Keep UK SIs up-to-date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients covering the latest technology solutions and benefits
  • Influence where Snowflake can have the most impact on our partners' go-to-market offerings
  • Run technical enablement programs to provide best practices and solution design workshops to help UK RSIs create effective solutions
  • Help Solution Providers/Practice Leads with the technical strategies that enable them to sell their offerings on Snowflake
  • Help develop and launch joint differentiated solution offerings with UK RSI Partners
  • Share customer success stories and case studies to showcase the positive impact of Snowflake
  • Engage in forward strategic thinking - quickly grasping the essence of new concepts and business value messaging

Requirements

  • Experience with database/data warehouse technologies
  • Familiarity with providing sessions on technical product capabilities and architectural deep-dives to a technical audience
  • Broad experience with major cloud platforms and tooling, especially Azure, AWS, and Google Cloud
  • Experience in data science programming languages including Python, SQL, Scala, and/or Spark
  • Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc. also integration platforms like Matillion, FiveTran, Informatica, dbtCloud, etc.
  • Hands-on experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems
  • Experience with developing AI/ML use cases including communicating AI/ML strategy and business value
  • Commercial awareness and a strong understanding of how SIs generate revenue through the industry priorities and complexities they face

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