Senior Solution Engineer
Senior Solution Engineer supporting the UK market by demonstrating Snowflake, guiding evaluations and proofs of concept, and translating customer data challenges into solutions. Requires solution engineering or architecture experience, strong executive and technical presentation skills, data and cloud expertise, and hands-on SQL.
About the job
Responsibilities
- Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers.
- Demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demos and proofs of concept through design and implementation.
- Develop technical champions within accounts to drive deals and achieve technical wins.
- Present Snowflake roadmap features and functionality to customers and prospects.
- Maintain knowledge of competitive and complementary technologies and vendors, and position Snowflake accordingly.
- Collaborate with sales engineers, Product Management, Engineering, Marketing, ecosystem partners, and implementation partners.
- Build joint architectures and collaborate on account strategies and initiatives.
- Represent Snowflake at industry and customer events.
- Contribute to account and territory plans and execute initiatives across the broader ecosystem.
Requirements
- Experience in solution engineering or solution architecture in a SaaS environment, or relevant analytics, data science, or data engineering industry experience.
- Outstanding presentation skills for technical and executive audiences, including impromptu whiteboarding, presentations, and demos.
- Understanding of data architecture, data analytics, and cloud technology.
- Hands-on experience with SQL.
- Ability to solve customer-specific business problems and apply Snowflake solutions.
- Strong written and verbal customer-facing communication skills.
Nice-to-haves
- Financial services industry experience.
- Hands-on experience with Python.
- Experience with modern data technologies such as dbt, Apache Spark, containers, DevOps tooling, orchestration tools, and Git.
- Experience with artificial intelligence, data science, and machine learning technologies.
Skills
SQL, Python, Snowflake, Data Architecture, Data Analytics, Cloud Technology, dbt, Spark, Containers, DevOps, Git, Machine Learning
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