Data Architect
Listed on 2026-06-23
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IT/Tech
Data Engineering, Data Warehousing, Data Analyst
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 ExperienceProven 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 life cycles.
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 SkillsExperience working with modern data platforms such as Snowflake.
Experience of ELT ETL.
Strong understanding of analytics and reporting tooling eg:
Power BI.
Solid grounding in data integration patterns and data pipeline design.
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.
Mandatory Skills- Databricks
- Microsoft Fabric
- MS SQL Server
- Redshift
- Snowflake
- ANSI-SQL
- Data Vault (ODS) Modeling
- Dimensional Data Modeling
- ER Studio
- ERWIN
- GCP Big Query
- TOAD Data Model
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