Snowflake Architect

Job Title

: Snowflake Architect

Job Location:

London, UK/ Remote with occasional office visit.

Job Type:

Permanent

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 optimisation.

• 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 optimisation, 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.