Azure Data Architect - Insurance (hybrid)

Neweasy
Charing Cross, United Kingdom
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 156K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Azure
Data Architecture
Data Governance
Data Infrastructure
ETL
Data Transformation
Data Systems
Data Vault Modeling
Data Warehousing
Enterprise Data Management
Azure
Cloud Platform System
Azure
Data Lake
Integration Frameworks
Kafka
Data Management
Cloud Migration
Data Pipelines
Databricks

Job description

We're working with a leading organisation investing heavily in its data and analytics capabilities, and they're looking for an experienced Data Architect with a strong Insurance background to help shape the next generation of their Azure data platform.

This is a strategic architecture role where you'll define enterprise-wide data solutions, build scalable cloud-based platforms and help turn complex insurance data into a genuine business asset.

Day to Day

  • Design end-to-end data architecture across underwriting, claims, policy administration, actuarial and finance functions
  • Define data models, integration frameworks and enterprise data standards
  • Lead the architecture of modern Azure-based data platforms, including Data Lake, Lakehouse and Data Warehouse environments
  • Drive the design of scalable data pipelines, ETL/ELT frameworks and integration patterns
  • Establish governance, data quality and security standards across the platform
  • Support cloud migration and legacy modernisation initiatives
  • Provide architectural leadership to engineering, analytics and business teams
  • Engage senior stakeholders and act as a trusted advisor on data transformation programmes

Requirements

  • Proven experience in Data Architecture within the Insurance sector
  • Strong knowledge of Life, General Insurance or Reinsurance data environments
  • Deep expertise across Azure Data Factory, Synapse Analytics, ADLS and Databricks
  • Strong understanding of Data Warehousing, Lakehouse architecture and modern data platforms
  • Experience with Kimball, Inmon or Data Vault modelling approaches
  • Knowledge of data governance, security and regulatory requirements including GDPR, IFRS 17 or Solvency II
  • Strong stakeholder management
  • Experience leading enterprise-scale data transformation programmes

Nice To Have

  • Azure certifications
  • Experience with Kafka or Event Hubs
  • Exposure to AI, ML or advanced analytics platforms
  • Cloud migration and legacy platform modernisation experience

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