Data Architect-Snowflake/DBT/Azure

London Source: WhatJobs
See advert for pay

Overview

As Data Architect at Gallagher, you will design a modern cloud-based data platform to underpin analytics across underwriting, claims, actuarial, and finance in a complex insurance environment. You will lead the future-state data architecture, promote data modelling and governance best practices, and build a scalable data foundation for trusted insights. With Snowflake and dbt your work enables analytics, pricing, risk, and strategic decision-making. This London-based role blends hands-on delivery with architectural oversight in a collaborative, impact-driven culture.

Pay / Benefits

  • competitive compensation
  • comprehensive benefits
  • career development opportunities
  • collaborative, people-first culture
  • global reach with local impact
  • inclusive and authentic workplace

Responsibilities

  • Define enterprise data architecture aligned to insurance priorities
  • Design and optimise Snowflake-based data platforms for scalability, security, and cost efficiency
  • Lead migration from legacy systems to modern cloud data solutions
  • Establish architectural patterns for data domains, products, and reusable assets

Key requirements

  • Data Architect experience in the Insurance industry
  • Experience modelling enterprise data models, reporting marts, and data products
  • Proficiency with Snowflake and dbt
  • Knowledge of data governance, metadata, lineage, and data quality
  • MDM experience and integration into analytics platforms
  • Strong stakeholder management and ability to operate across delivery and architecture
  • stakeholder management
  • collaboration
  • strategic but pragmatic mindset
  • Snowflake
  • dbt
  • data modelling (conceptual/logical/physical)

Full job description from WhatJobs. Apply for this role →

Back to all jobs

Help others hire with confidence

Reviews on Trustpilot

Worked with Verifera as a candidate or employer? Your honest review helps the next person trust verified hiring.