Data Architect

Job Title: Data Architect (AWS / Databricks) - Insurance Domain

Location: London, UK (Hybrid)

Experience: 12+ Years

Role Summary:

We are seeking a highly experienced Data Architect to lead the design and delivery of enterprise-scale cloud data platforms using AWS, Databricks, and MongoDB. In this role, you will drive cloud data strategies and data modernization initiatives for major players in the UK Insurance and Financial Services sectors.

Key Responsibilities:

• Define and execute enterprise data architecture and cloud data strategies.
• Design scalable Lakehouse architectures utilizing AWS and Databricks.
• Develop robust conceptual, logical, and physical data models.
• Lead data modernization and cloud migration projects.
• Establish best-in-class frameworks for data governance, security, lineage, and quality.
• Collaborate effectively with business leaders, engineering teams, and executive stakeholders.
• Mentor data engineers and technical project teams.

Required Skills & Domain Expertise:

• Mandatory Technical Skills: Extensive background in Data Architecture, AWS, Databricks, and MongoDB.
• Industry Experience (Must Have): Deep understanding of UK Speciality Insurance and Reinsurance.
• Regulatory Knowledge: Strong familiarity with FCA & PRA Regulations, and Solvency II Reporting.
• Data Modeling: Proven experience with specific Insurance Data Models and reporting structures.

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

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