Data Architect (Arch Insurance)

Role: Data Architect (Arch Insurance) London, UK (Hybrid) Contract Type Responsibilities • Develop and maintain conceptual and logical data models across the Polaris programme, with a focus on underwriting and platform domains • Ensure alignment to London Market data standards, minimising divergence across parallel work streams • Collaborate with solution / Data architects, data engineers, and business stakeholders to define consistent data structures and definitions • Provide hands-on guidance to delivery teams to ensure data models are implemented consistently across platforms • Contribute to data architecture governance, ensuring alignment with enterprise standards and architecture principles • Identify and resolve potential data inconsistencies, duplication, and integration risks early in the delivery lifecycle • Support ongoing alignment with future PAS and platform design, ensuring data models are adaptable and forward-looking • Working with CDO to ensure data governance processes are followed and required metadata captured. Skills and Experience Essential • Proven experience as a Data Architect in complex, multi-stream delivery environments • Strong hands-on expertise in data modelling (conceptual and logical) • Experience working within the insurance domain, with strong understanding of data across underwriting and policy lifecycles • Familiarity with London Market data models and standards • Strong collaboration skills, able to work effectively across architecture and delivery teams • Experience supporting large-scale transformation programmes with multiple parallel work streams 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 metadata management and lineage