Data Architect (Arch Insurance)

Role: Data Architect (Arch Insurance)

Job Type: Contract

London, UK (2days Onsite)

Responsibilities

• Develop and maintain conceptual and logical data models across the Polarisprogramme, with a focus on underwriting and platform domains

• Ensure alignment to London Market data standards, minimising divergenceacross parallel workstreams

• Collaborate with solution / Data architects, data engineers, and businessstakeholders to define consistent data structures and definitions

• Provide hands-on guidance to delivery teams to ensure data models areimplemented consistently across platforms

• Contribute to data architecture governance, ensuring alignment with enterprisestandards and architecture principles

• Identify and resolve potential data inconsistencies, duplication, and integrationrisks early in the delivery lifecycle

• Support ongoing alignment with future PAS and platform design, ensuring datamodels are adaptable and forward-looking

• Working with CDO to ensure data governance processes are followed andrequired metadata captured.

Skills and Experience

Essential

• Proven experience as a Data Architect in complex, multi-stream deliveryenvironments

• Strong hands-on expertise in data modelling (conceptual and logical)

• Experience working within the insurance domain, with strong understanding ofdata across underwriting and policy lifecycles

• Familiarity with London Market data models and standards

• Strong collaboration skills, able to work effectively across architecture anddelivery teams

• Experience supporting large-scale transformation programmes with multipleparallel workstreams

Technical Skills

• Experience working with modern data platforms such as Snowflake

• Experience of ELT/ETL

• Strong understanding of analytics and reporting tooling (e.g. Power BI)

• Solid grounding in data integration patterns and data pipeline design

Desirable

• Exposure to data governance frameworks and tooling (e.g. Collibra)

• Experience with orchestration platforms such as Astronomer / Airflow

• Knowledge of enterprise data architecture practices, including metadatamanagement and lineage