Architect; Cloud/Data
Listed on 2026-07-26
-
IT/Tech
Data Engineering
Location: Greater London
Role
- Data Architect
Location
- London, UK
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
hands-on
, with a strong emphasis on
data modelling
and establishing a consistent data foundation across multiple in-flight work streams. 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 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.
- 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 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
- 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
- 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
- Bachelors or Masters in Information Technology, Computer Science or relevant field.
This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.
Physical DemandsThis position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.
Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEOSaama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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