At a Glance
- Tasks: Lead AI Data Cloud projects and mentor junior engineers while driving customer success.
- Company: Join Snowflake, a fast-growing tech company focused on innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on AI-driven solutions and career advancement.
- Why this job: Make a real impact in the tech world while advancing your career with cutting-edge tools.
- Qualifications: Expertise in SQL, cloud architecture, and experience in mentoring teams.
The predicted salary is between 80000 - 100000 £ per year.
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.
The Senior Solution Account Engineer is a high-impact, strategic role designed to architect and accelerate the customer journey on the Snowflake AI Data Cloud. In this senior capacity, you will bridge the gap for enterprise-level customers—ensuring rapid implementation and world-class architecture—while serving as a technical anchor and mentor for the broader Solution Engineering team. You will be responsible for elevating the collective technical bar, refining internal methodologies, and providing the informal leadership necessary to ensure the team consistently delivers high-value outcomes.
Key Responsibilities and Deliverables
- Strategic Leadership & Portfolio Excellence
- Drive Regional Success: Take ownership of the technical health and consumption trajectory of high-priority accounts, acting as the lead strategist for complex, multi-stakeholder deployments.
- Technical Mentorship: Serve as a mentor to junior and mid-level engineers, providing guidance on solution design, account strategy, and overcoming technical roadblocks.
- Strategic Advisory: Act as the primary "Trusted Advisor" for executive stakeholders, aligning Snowflake’s capabilities with high-level business transformation goals.
- Operational Oversight: Periodically review portfolio health and workflows to identify patterns, ensuring consistent delivery and proactively mitigating risks.
- Advanced Technical Execution & Innovation
- Architectural Stewardship: Define "gold standards" for customers, including complex RBAC/Security frameworks, performance optimization at scale, and cost-governance.
- AI-Driven Efficiency: Lead the adoption of cutting-edge AI development tools and coding agents (Gemini, Cursor AI, Claude Code, Glean), demonstrating how to leverage automation and prompt engineering for rapid delivery.
- Programmatic Innovation: Design scalable programs, such as advanced workshops and technical playbooks, for use by the entire organization.
- Cross-Functional Influence: Liaise with Product and Engineering teams to synthesize field insights into high-level product requirements and roadmap influence.
- Resource Orchestration: Coordinate internal resources across Professional Services, Support, and Partner ecosystems to resolve high-stakes challenges.
Qualifications and Experience
- Required Expertise
- Senior Technical Proficiency: Deep mastery of SQL and substantial experience in data modeling and performance tuning.
- Enterprise Architecture: Proven experience designing data architectures on major cloud platforms (AWS, Azure, or GCP) at scale.
- Agentic AI Development: Solid hands-on experience in agent development and a high level of proficiency in prompt engineering.
- Informal Leadership: Demonstrated experience mentoring peers, leading internal projects, or acting as a "subject matter expert."
- Strategic Communication: Ability to translate complex technical concepts into business value for C-suite executives while remaining "deep in the weeds" with developers.
- Education: University degree in Computer Science, Engineering, Mathematics, or equivalent senior-level practical experience.
- What Sets You Apart (Preferred)
- Advanced AI/ML: Practical experience integrating AI-powered development tools into workflows or supporting production Data Science use cases.
- SnowPro Advanced Certifications: Specifically Architect, Data Engineer, or Data Scientist.
- Polyglot Programming: Proficiency in Python, Java, or Scala for building data pipelines or applications.
- DevOps/DataOps Mastery: Experience with CI/CD, data orchestration (Airflow, dbt), and automated testing.
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.
Senior Account Solution Engineer in London employer: Snowflake
Snowflake is an exceptional employer that fosters a culture of impact, innovation, and collaboration, making it an ideal place for professionals looking to advance their careers in technology. With a strong focus on employee growth, mentorship opportunities, and cutting-edge projects in the AI Data Cloud space, team members are empowered to take ownership of their work while contributing to high-value outcomes for enterprise-level customers. Located in a dynamic environment, Snowflake offers a unique blend of strategic leadership and technical excellence, ensuring that employees are at the forefront of industry advancements.
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We think this is how you could land Senior Account Solution Engineer in London
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We think you need these skills to ace Senior Account Solution Engineer in London
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!
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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!
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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
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✨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.
