At a Glance
- Tasks: Design and evolve enterprise data architecture on Snowflake for a leading insurance organisation.
- Company: Join a global insurance leader transforming its data landscape.
- Benefits: Competitive salary, professional development, and the chance to influence enterprise architecture.
- Other info: Opportunity to mentor engineers and drive large-scale transformation programmes.
- Why this job: Shape the future of cloud data solutions and work with cutting-edge technologies.
- Qualifications: Experience as a Data Architect or Lead Data Engineer with Snowflake expertise.
The predicted salary is between 70000 - 90000 £ per year.
We're partnering with a leading global insurance organisation undergoing a major transformation of its enterprise data platform. They're looking for an experienced
Data Architect to help shape the future of their cloud data landscape.
You’ll lead the design of scalable data architecture across a modern
Snowflake platform, driving best practice around data modelling, governance, security and platform adoption.
Working closely with Data Engineering, Architecture, Security and business stakeholders, you’ll play a key role in delivering trusted, enterprise-wide data solutions.
Key Responsibilities
- Design and evolve enterprise data architecture on Snowflake.
- Lead the implementation of Medallion Architecture and modern data modelling practices.
- Define governance standards, metadata, lineage and secure RBAC/ABAC access models.
- Partner with engineering teams to establish scalable ETL/ELT and data platform standards.
- Work closely with stakeholders to translate business requirements into strategic data solutions.
- Provide technical leadership, mentor engineers and influence the long‑term data roadmap.
Skills & Experience
- Proven experience as a Data Architect or Lead Data Engineer with architecture responsibilities.
- Strong expertise with
- Snowflake
, dbt and modern cloud data platforms.
- Excellent understanding of data warehousing, dimensional modelling, ETL/ELT and enterprise architecture.
- Experience implementing data governance, security and GDPR best practices.
- Knowledge of SQL Server and Azure technologies is beneficial.
- Previous experience within insurance or another regulated industry would be highly advantageous.
This is an excellent opportunity to join an organisation making significant investment in its data capabilities, offering the chance to influence enterprise architecture and work with modern cloud technologies on large-scale transformation programmes.
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Data Architect - Insurance - Snowflake in London employer: Arthur Recruitment
Join a forward-thinking personal lines insurer that values innovation and creativity in its pricing team. With a strong emphasis on employee growth, you will have the opportunity to develop your skills in a collaborative environment while working on cutting-edge pricing methodologies. Enjoy a supportive work culture that encourages curiosity and offers meaningful career advancement opportunities in a dynamic sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - Insurance - Snowflake in London
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We think you need these skills to ace Data Architect - Insurance - Snowflake 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 Arthur Recruitment, 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 Arthur Recruitment. 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 Arthur Recruitment
✨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.
