Snowflake Data Architect - London, UK (Hybrid)

Infoplus Technologies UK Ltd; City Of London; On-site; GBP 85,000 - 110,000; Full time

Job summary

A prominent technology firm in London is seeking a Snowflake Data Architect with over 15 years of experience in data and AI services. You will lead the design and implementation of Data Vault 2.0 architecture on Snowflake, analyze insurance data for strategic insights, and collaborate with stakeholders to ensure data quality and integration. This hybrid role offers the chance to work on impactful projects in a dynamic environment.

Qualifications

• 15+ years of experience in a Data & AI services firm.
• Strong communication skills for storytelling.
• Experience with data vault architecture and Snowflake.

Responsibilities

• Lead the design of Data Vault 2.0 architecture on Snowflake.
• Analyse complex insurance data for insights.
• Collaborate with stakeholders for data requirements.

Skills

Data analysis

Communication skills

Data architecture design

Data Vault 2.0 architecture

Data integration

Mentorship

Tools

Snowflake

dbt

Power BI

Job description

Snowflake Data Architect

FTE
London, UK (Hybrid)

Roles & Responsibilities

• Possess 15+ years of work experience at a reputable Data & AI services firm.
• Outstanding written and verbal communication skills, with a flair for compelling storytelling.
• Analyse complex insurance data to identify trends, patterns, and insights that support strategic business decisions.
• Design and implement an enterprise‑grade Data Vault 2.0 architecture on Snowflake, ensuring scalability, flexibility, and auditability.
• Lead the end‑to‑end data architecture design, from data ingestion through transformation to reporting layers.
• Collaborate with business stakeholders to understand insurance‑specific data requirements (e.g., policy, claims, underwriting, premiums, risk, reinsurance).
• Define data modelling standards, naming conventions, and governance frameworks aligned with industry best practices.
• Work with data engineering teams to implement dbt‑based data pipelines for data transformation and lineage tracking.
• Ensure efficient data integration and performance optimisation across Snowflake and downstream systems.
• Partner with BI developers to enable Power BI reporting and semantic modelling using curated data layers.
• Oversee data quality, validation, and reconciliation processes to ensure accurate and reliable reporting.
• Provide technical leadership and mentorship to engineering and analytics teams on Data Vault and Snowflake architecture.