At a Glance
- Tasks: Design and lead innovative Snowflake architecture solutions for enterprise data platforms.
- Company: Join a forward-thinking company at the forefront of data technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a significant impact in the data landscape with cutting-edge tools and technologies.
- Qualifications: 10+ years in data warehousing and strong Snowflake expertise required.
The predicted salary is between 72000 - 88000 £ per year.
We're seeking a Snowflake Architect for this role. Kindly find the updated job description below-
Job Description
- 10+ years of overall experience in Data Warehousing, Data Engineering, and Cloud Data Platforms.
Strong hands-on experience with Snowflake architecture, design, implementation, and optimization.
- Proven expertise in designing enterprise-scale data platforms, data lakes, and modern data warehouse solutions.
- Deep understanding of Snowflake features including Snowpipe, Streams, Tasks, Dynamic Tables, Time Travel, Zero-Copy Cloning, Data Sharing, RBAC, and performance tuning.
- Experience in data modelling, including dimensional modelling, star and snowflake schemas, and data vault concepts.
- Strong knowledge of cloud platforms such as AWS, Azure, or GCP and integration with Snowflake.
- Experience with ETL/ELT frameworks, DBT, Python, SQL, and orchestration tools.
- Ability to define architecture standards, patterns, best practices, and governance frameworks.
- Strong stakeholder management skills with the ability to engage with business and technical teams.
- Comfortable leading architecture discussions, presenting solution designs, conducting design reviews, and influencing technical decisions.
- Experience creating architecture documents, solution blueprints, and executive-level presentations.
- Excellent communication, presentation, and consulting skills.
- Prior experience in Banking, Insurance, or Financial Services domains is preferred.
Key Responsibilities
- Design and own end-to-end Snowflake architecture and solution strategy.
- Define architecture patterns, frameworks, and best practices for enterprise data platforms.
- Lead solution design workshops with business and technology stakeholders.
- Present architecture designs and recommendations to customers, architects, and leadership teams.
- Provide technical leadership to delivery teams and ensure adherence to architectural standards.
- Drive performance optimization, security, scalability, and cost-efficiency initiatives.
- Collaborate with enterprise architects, data engineers, and business stakeholders to deliver modern data solutions.
- Support pre-sales, solutioning, and proposal activities where required.
Snowflake Architect in London employer: Vbeyond Careers
As a leading employer in the data solutions sector, we offer an inspiring work culture that fosters innovation and collaboration. Our Snowflake Architects benefit from extensive professional growth opportunities, competitive compensation, and a supportive environment that values expertise and creativity. Located in a vibrant city, our team enjoys a dynamic workplace with access to cutting-edge technology and resources, making it an ideal setting for those looking to make a significant impact in the field of data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Architect in London
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We think you need these skills to ace Snowflake Architect 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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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.
