Data Architect (Insurance Domain)

Randstad Technologies Recruitment; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A recruitment agency is looking for a seasoned Data Architect skilled in Azure to lead the design and implementation of data solutions for a strategic insurance project. The ideal candidate will have extensive experience in Azure cloud services, data modeling, and data analytics. Responsibilities include architecting end-to-end data workflows and ensuring data quality compliance. A hybrid work arrangement is offered in London.

Qualifications

• 15 years of experience with at least 5 years in the Azure ecosystem.
• Strong expertise in Azure cloud services and data solutions.
• Hands-on experience with data orchestration and transformations.

Responsibilities

• Lead the design and implementation of data solutions for insurance.
• Collaborate with stakeholders to understand data requirements.
• Ensure data quality governance and security compliance.

Skills

Azure Cloud Services

Azure Data Factory

Databricks

Data Modeling

Tools

Azure Data Lake

Azure Synapse

Azure SQL

Azure Storage

Job description

Adword

Job Title

Data Architect (Insurance Domain)

Location

London UK

Hybrid role

Responsibilities

Experience Level 15 years with at least 5 years in Azure ecosystem

Role

We are seeking a seasoned Data Architect to lead the design and implementation of scalable data solutions for a strategic insurance project. The ideal candidate will have deep expertise in Azure cloud services, Azure Data Factory and Databricks with a strong understanding of data modeling, data integration and analytics in the insurance domain.

Key Responsibilities

• Architect and design end to end data solutions on Azure for insurance related data workflows
• Lead data ingestion transformation and orchestration using ADF and Databricks
• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
• Ensure data quality governance and security compliance across the data lifecycle
• Optimise performance and cost efficiency of data pipelines and storage
• Provide technical leadership and mentoring to data engineers and developers

Mandatory Skillset

• Azure Cloud Services – Strong experience with Azure Data Lake, Azure Synapse, Azure SQL and Azure Storage
• Azure Data Factory (ADF) – Expertise in building and managing complex data pipelines
• Databricks – Hands-on experience with Spark based data processing, notebooks and ML workflows
• Data Modeling – Proficiency in conceptual, logical and physical data modeling
• S…