Data Architect

Role Overview • We are seeking an experienced Data Architect to join the Polaris Programme a strategic initiative focused on modernising underwriting and platform capabilities • This role is primarily handson with a strong emphasis on data modelling and establishing a consistent data foundation across multiple inflight workstreams The successful candidate will play a key role in shaping and aligning conceptual and logical data models ensuring consistency with the London Market data model and supporting future PAS alignment • Working alongside existing Data Architects and delivery teams the contractor will help ensure that data design remains coherent scalable and aligned as the programme evolves Key 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 workstreams • Collaborate with solution Data architects data engineers and business stakeholders to define consistent data structures and definitions • Provide handson 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 forwardlooking • 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 multistream delivery environments • Strong handson 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 largescale transformation programmes with multiple parallel workstreams Technical Skills • Experience working with modern data platforms such as Snowflake • Experience of ELTETL • Strong understanding of analytics and reporting tooling eg Power BI • Solid grounding in data integration patterns and data pipeline design Desirable • Exposure to data governance frameworks and tooling eg Collibra • Experience with orchestration platforms such as Astronomer Airflow • Knowledge of enterprise data architecture practices including metadata management and lineage Skills Mandatory Skills : Databricks, Microsoft Fabric, MS SQL Server, Redshift, Snowflake Good to Have Skills : ANSI-SQL, Data Vault (ODS) Modeling, Dimensional Data Modeling, ER Studio, ERWIN, GCP BigQuery, TOAD Data Modeler