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# Data Architect (with Financial Services)

- **Company:** Capgemini Sogeti
- **Location:** London, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, Meta-Data Management, Performance Tuning, Cloud Services, Standard Sql, Data Strategy, Data Lakes, Data Lineage, Data Management, Physical Data Models, Artificial Intelligence Markup Language (AIML)
- **Published:** September 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f350eaf99df42a69

## About the Role

* Strong experience in Enterprise Data Architecture and Data Strategy.
 * Expertise in Data Modelling including Conceptual, Logical, and Physical Data Models.
 * Strong knowledge of Data Governance, Data Quality, Metadata Management, and Data Lineage.
 * Experience designing and implementing Data Warehouses, Data Lakes, and Modern Data Platforms.
 * Strong understanding of ETL/ELT Architecture and Data Integration Frameworks.
 * Experience with Cloud Data Platforms such as Azure, AWS, or GCP.
 * Strong SQL and data analysis skills.
 * Knowledge of Big Data technologies and modern analytics architectures.
 * Experience implementing data security, privacy, and compliance controls.
 * Excellent stakeholder management, communication, and problem-solving skills.

## Description

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

 * Design and maintain enterprise data architecture data models and data standards
 * Define data integration storage and governance frameworks
 * Ensure data quality security privacy and compliance requirements are met
 * Collaborate with business engineering and analytics teams to deliver data driven solutions
 * Lead architecture decisions for cloud and on premises data platforms
 * Support data warehousing reporting analytics and AIML initiatives
 * Drive best practices for data management scalability and performance optimization