Senior Solution Engineer - Global Accounts

Senior Solution Engineer - Global Accounts

Full-Time On-site
S

At a Glance

  • Tasks: Lead technical relationships and deliver innovative solutions for global financial accounts.
  • Company: Join Snowflake, a fast-growing tech company redefining the future of work.
  • Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
  • Other info: Collaborate with a team that values innovation and challenges ordinary thinking.
  • Why this job: Make a real impact in financial services with cutting-edge AI technology.
  • Qualifications: 8+ years in solution engineering or data engineering, with strong financial services knowledge.

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.

Responsibilities

  • Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion.
  • Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers.
  • Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments.
  • Act as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake solutions.
  • Partner closely with the Account Executive and leadership as the sole technical owner of the account, co-developing the joint success plan and ensuring technical alignment across every active opportunity.
  • Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption.
  • Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice.

Our ideal Senior Solution Engineer will have:

  • 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to financial services customers.
  • Deep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence.
  • Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions live.
  • Proficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent).
  • Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutions.
  • Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts.
  • Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an FSI context.

Bonus points for the following:

  • Direct experience working within or selling to capital markets firms, tier-1 banks, insurers, or global asset managers.
  • Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps.
  • Familiarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop).
  • Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated environments.
  • Background in data mesh, data product design, or enterprise data governance frameworks relevant to FSI compliance requirements.

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?

Senior Solution Engineer - Global Accounts employer: Snowflake

At Snowflake, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our EMEA GTM Communications Lead role offers not only competitive benefits but also ample opportunities for professional growth in the rapidly evolving tech landscape. Join us in our vibrant location where innovation meets collaboration, and be part of a team that values your contributions to drive meaningful change.

S

Contact Details:

Snowflake Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Solution Engineer - Global Accounts

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Snowflake!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Solution Engineer - Global Accounts at Snowflake.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Snowflake.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Solution Engineer - Global Accounts at Snowflake, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Solution Engineer - Global Accounts

Pre-sales Solution Engineering
Technical Consulting
Data Engineering
Financial Services Data Architecture
Risk Management
Regulatory Reporting
Fraud Analytics

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Snowflake, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Snowflake. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Snowflake

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Snowflake!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.