Data Architect-Snowflake/DBT/Azure
Listed on 2026-10-10
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IT/Tech
Data Engineering, Data Warehousing, Data Analyst
At Gallagher, we help clients face risk with confidence because we believe that when businesses are protected, they’re free to grow, lead, and innovate. You’ll be backed by our digital ecosystem: a client-centric suite of consulting tools making it easier for you to meet your clients where they want to be met. Advanced data and analytics providing a comprehensive overview of the risk landscape is at your fingertips.
Here, you’re not just improving clients' risk profiles, you’re building trust. You’ll find a culture grounded in teamwork, guided by integrity, and fueled by a shared commitment to do the right thing. We value curiosity, celebrate new ideas, and empower you to take ownership of your career while making a meaningful impact for the businesses we serve.
If you’re ready to bring your unique perspective to a place where your work truly matters; think of Gallagher.
Overview
As our Data Architect, you will play a key role in designing and delivering a modern cloud-based data platform that underpins the organisation's data and analytics capabilities. Working within a complex insurance environment, you will define the future-state data architecture, champion best practices in data modelling and governance, and help create a scalable, data-driven foundation for the business.
Leveraging your expertise in Snowflake and dbt, you will enable the delivery of trusted, well-governed data that supports critical functions including analytics, pricing, risk, and strategic decision-making across the organisation.
This role is based in London and you are expected to be in two days a week.
How you'll make an impactArchitecture & Strategy
- Define and implement the enterprise data architecture aligned to insurance business priorities (underwriting, claims, actuarial, finance)
- Design and optimise Snowflake-based data platforms, ensuring scalability, security, and cost efficiency
- Lead the transition from legacy policy, claims, and finance systems to modern cloud data solutions
- Establish architectural patterns supporting data domains, data products, and reusable assets
Data Modelling Skills & Experience
- Excellent understanding of conceptual, logical, and physical data modelling principles.
- Experience designing enterprise data models, reporting marts and business specific data products.
- Ability to model complex business relationships, hierarchies, and many-to-many relationships.
- Proficiency in dimensional modelling techniques including star schemas, snowflake schemas, facts, dimensions, and slowly changing dimensions (SCDs).
- Experience producing ERDs, logical data models, business data models, and data dictionaries.
- Strong knowledge of data normalization and denormalization techniques.
- Experience defining and documenting business rules, data lineage, data ownership, and metadata.
- Experience working with Master Data Management (MDM) solutions, including integrating mastered data into enterprise data models and analytical platforms.
- Understanding of data quality, reconciliation, and data governance considerations within data model design
- Previous experience as a Data Architect working in the the Insurance Industry is essential for this position. An understanding of insurance and brokerage data domains and their interdependencies is required.
- Experience modelling data across key business subject areas including:
- Client and customer
- Policy lifecycle
- Risk and coverage
- Claims management
- Finance, premium, commission, and brokerage transactions
- Insurer
- Regulatory, compliance, and conduct reporting
- Ability to develop enterprise data models that support operational processes, management information (MI), regulatory reporting, and analytics.
- Understanding of how data flows across policy administration, claims, finance,…
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