2 days ago
London, United KingdomSenior
Responsibilities
- Support end-to-end technical sales engagements for a strategic global financial-services account, from discovery and qualification through proof-of-concept delivery and technical close.
- Build and deliver tailored demonstrations and solution presentations tied to customer data challenges and business objectives.
- Design and execute proof-of-concept engagements for risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloads.
- Develop working knowledge of the customer’s data architecture, cloud environment, and technology stack.
- Support the Account Executive with deal activity, technical RFP responses, and resolution of technical blockers.
- Coordinate with Professional Services, Support, and Product teams and build trusted relationships with the customer’s data engineers, architects, and technical managers.
Requirements
- 5+ years of experience in pre-sales solution engineering, data engineering, or technical consulting in enterprise B2B technology, with exposure to financial-services organizations.
- Foundational understanding of cloud data platforms and modern data architectures.
- Proficiency in SQL and Python, including writing and debugging scripts and building proof-of-concept pipelines.
- Ability to translate technical concepts for engineering and business audiences in a financial institution.
- Strong organizational skills and ability to manage multiple workstreams during an active sales cycle.
- Curiosity about AI and data technology and willingness to develop expertise in Snowflake Cortex AI.
- Preferred qualifications include hands-on Snowflake exposure, relevant internships or placements, familiarity with dbt, Kafka, or Spark, financial-services coursework or knowledge, and experience with customer-facing presentations, demos, or hackathons.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.