Senior Solution Engineer (SaaS)

TL;DR

Senior Solution Engineer (SaaS): Designing and demonstrating data solutions for complex customer problems with an accent on data architecture, cloud technology, and value communication. Focus on conducting proof of concepts, driving technical wins, and aligning Snowflake's roadmap with business needs.

Location: London, GB

Company

Snowflake is a cloud data company powering the era of the agentic enterprise by helping organizations maximize the value of their data assets.

What you will do

• Present Snowflake’s technology and vision to executives and technical stakeholders.
• Conduct hands-on demonstrations and Proof of Concepts (PoC) to communicate product value throughout the sales cycle.
• Collaborate with account sales teams and channel partners to strategize customer support and evaluations.
• Build and maintain technical champions within customer accounts to drive deals and achieve technical wins.
• Partner with Product Management, Engineering, and Marketing to provide feedback for product improvement.
• Stay current on industry trends and competitive landscapes to effectively position Snowflake.

Requirements

• Experience in solution engineering or architecture within a SaaS or data-centric environment (analytics, data science, data engineering).
• Strong proficiency in SQL and experience with data architecture and cloud technologies.
• Exceptional presentation skills for both technical and executive audiences.
• Ability to translate complex technical features into solvable business problems.
• Proven customer-facing experience with strong written and verbal communication.

Nice to have

• Industry experience in Retail or Travel sectors.
• Hands-on experience with Python.
• Familiarity with modern data tools such as dbt, Spark, containers, and Git.
• Knowledge of AI, data science, and machine learning technologies.

Culture & Benefits

• Fast-paced, innovative environment focusing on the "agentic enterprise".
• Experimental mindset encouraging the testing of emerging AI capabilities.
• Culture of low-ego, curiosity, and mutual support among team members.
• Opportunities for professional growth within a rapidly scaling global organization.