Data Architect

Job Title: Data Architect

Job Location: London, UK

Job Type: Full Time

Hybrid work (2days week)

Keys Skills: Data Modelling, Python, Pyspark, Snowflake

We at Coforge are hiring for a Data Architect with following skillset:

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