Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

As a Senior Solution Engineer at Snowflake, you will partner closely with Sales, Product, Engineering, and Marketing to drive customer success across the Financial Services industry. You will act as a trusted technical advisor, translating complex business challenges into scalable, secure, and high-performing data platform solutions on Snowflake.

This role requires a blend of deep technical expertise, industry knowledge, and strong customer engagement skills. You will lead technical discovery, architect solutions, deliver compelling demonstrations, and guide customers through proof-of-concepts and production adoption.

A strong understanding of the Singapore regulatory landscape (e.g., MAS guidelines, data residency, cloud security requirements) is essential.

RESPONSIBILITIES:

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers

• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation

• Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them

• Collaborate with Product, Engineering, and Marketing to provide FSI-specific feedback, influence roadmap, and create reusable assets (reference architectures, demo patterns, best practices)

• Be an advocate and develop mutual trust with the technical audience on the customer side

MINIMUM REQUIREMENTS:

• Extensive working experience in customer facing solution engineering role

• Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science , Gen AIand Data Apps

• Excellent ability to present to both technical and executive audiences, whether through impromptu whiteboarding or structured presentations and demos.

• Hands-on expertise with SQL & Spark

STRONGLY DESIRED:

• Experience with large-scale data platforms (e.g., Teradata, Netezza, Exadata, Greenplum, Hadoop)

• Programming/scripting experience (e.g., Python, Java, Spark)

• Experience selling or supporting enterprise data/analytics platforms

• Strong stakeholder management and value-based selling skills

• Degree in Computer Science, Engineering, Mathematics, or related field skills

• Identifying key stakeholders, winning value propositions, and compelling events

ADDED BONUS FOR:

• Hands-on experience with Lakehouse architectures

• Exposure to Data Science / AI / ML / Generative AI workloads

• Familiarity with BI tools (e.g., Tableau, Power BI)

• Cloud platform experience: AWS, Azure, or GCP

• Relevant services (e.g., S3, Glue, SageMaker, Azure Data Factory, etc.)

• Experience with OLAP data modeling and enterprise data architecture

• Background in Financial Services (either as a practitioner or vendor)

• Experience selling enterprise SaaS solutions

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com