Senior Solution Engineer - Financial Services
Role Overview
This senior-level role involves partnering with sales, product, and engineering teams to drive customer success in the Financial Services industry. Day-to-day, you will act as a technical advisor, translating business challenges into scalable data solutions on Snowflake, leading technical discovery, architecting solutions, delivering demos, and guiding customers through proof-of-concepts and production adoption. The impact includes influencing product roadmap and building trust with technical stakeholders to accelerate enterprise growth.
Perks & Benefits
The job is fully remote, likely requiring flexibility for time zones to collaborate with teams and customers in Singapore and globally. It offers career growth in a fast-paced, innovative environment with a culture focused on impact and collaboration, typical of tech companies. Benefits may include competitive compensation, though specifics are not detailed in the posting, and opportunities for professional development in data and AI technologies.
Full Job Description
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
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
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