Data Architect / Data Modeler Contract

Consortia; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services provider is seeking a Data Architect to lead enterprise data initiatives in London. You will collaborate with a talented team to build comprehensive data solutions, influencing critical business capabilities. The ideal candidate has strong expertise in data modeling, governance policies, and cloud platforms such as AWS and Azure.

Qualifications

• Proven experience as a Data Architect or Data Modeler.
• Strong understanding of data governance policies.
• Experience with both structured and unstructured data.

Responsibilities

• Lead major enterprise data initiatives across multiple domains.
• Build end-to-end data lifecycle event flows.
• Support data migration and integration strategies.

Skills

Data modeling

Data governance

Metadata management

AWS

Azure

NoSQL databases

Job description

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Data Architect / Data Modeler Contract, London

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Client:

Consortia

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

c46b9e0984d0

Job Views:

25

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Are you ready to lead major enterprise data initiatives across Finance, CRM, and Master Data Management (MDM)? If you’re a passionate Data Modeler/Architect who thrives on building end-to-end data solutions, this could be the perfect opportunity for you.

Joining a highly regarded client within the financial services sector, you will collaborate with architects, engineers, and analysts to shape the data backbone of large-scale programmes. Your impact will directly influence critical business capabilities and future-proof data ecosystems across multiple domains.

Key Responsibilities:

Build end-to-end data lifecycle event flows aligned to logical models and systems.

Create and maintain comprehensive metadata, data dictionaries, and entity relationships.

Translate business needs into scalable, compliant data structures.

Champion data governance policies and standards.

Model structured and unstructured data across relational and NoSQL databases.

Implement data models on cloud platforms including AWS, Azure, and Snowflake.

Support data migration, integration, and reconciliation strategies.