Data Architect – Insurance (Azure Data Platform)
Role Overview
We are looking for a highly skilled Data Architect with deep expertise in the Insurance domain and strong experience in Microsoft Azure Data Platform. The role involves designing scalable, secure, and high-performance data architectures to support enterprise data initiatives, analytics, and digital transformation programs.
Key Responsibilities
Data Architecture & Design
Define and design end-to-end enterprise data architecture for Insurance use cases.
Develop conceptual, logical, and physical data models aligned to business needs.
Architect modern data platforms including:
Data Lake / Lakehouse
Data Warehouse
Real-time & batch data processing systems
Establish data integration patterns, ETL/ELT frameworks, and data pipelines.
Azure Data Platform Leadership
Design and implement solutions using Microsoft Azure Data Services, including:
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Data Lake Storage (ADLS)
Azure Databricks
Power BI
Ensure architecture adheres to cloud best practices for scalability, security, performance, and cost optimization.
Define reference architectures and reusable frameworks.
Data Strategy & Governance
Collaborate with stakeholders to define enterprise data strategy and roadmap.
Establish and enforce data governance, data quality, and metadata management frameworks.
Ensure compliance with industry regulations (e.g., IFRS 17, Solvency II, GDPR).
Insurance Domain Alignment
Translate Insurance business requirements into data models and technology solutions.
Work closely with domain teams across:
Underwriting
Claims
Policy Administration
Actuarial & Finance
Build reusable Insurance data models, canonical models, and accelerators.
Solutioning & Technical Leadership
Provide technical leadership across data engineering and analytics teams.
Review and guide implementation teams to ensure alignment with architecture.
Conduct architecture reviews, design validations, and performance optimizations.
Evaluate and recommend tools, technologies, and frameworks.
Stakeholder Collaboration
Work closely with business stakeholders, program managers, and engineering teams.
Present architectural solutions to senior leadership and clients.
Act as a trusted advisor for data transformation initiatives.
Required Qualifications
Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
10–15+ years of experience, with at least 5+ years in Data Architecture roles.
Strong experience in the Insurance domain (Life/P&C/Reinsurance).
Technical Skills
Expertise in Azure Data Platform, including:
ADF, Synapse, ADLS, Databricks
Power BI or equivalent BI tools
Strong understanding of:
Data Warehousing, Lakehouse architecture
ETL/ELT design patterns
Data modeling (Kimball, Inmon, Data Vault)
API-based and event-driven data integration
Familiarity with:
Data governance tools and frameworks
Security (RBAC, data masking, encryption)
Domain Expertise (Insurance)
Strong understanding of:
End-to-end policy lifecycle
Claims processing and underwriting systems
Actuarial data flows and financial reporting
Experience working with insurance data ecosystems and legacy modernization
Preferred Skills
Azure certifications (Azure Data Engineer / Azure Solutions Architect)
Experience with real-time streaming (e.g., Kafka, Event Hubs)
Exposure to AI/ML and advanced analytics platforms
Experience in cloud migration and legacy data platform modernization
Key Competencies
Strong analytical and architectural thinking
Problem-solving and decision-making
Excellent communication and stakeholder management
Ability to simplify complex technical concepts
Leadership and mentoring capabilities
Success Criteria
Scalable and future-ready data architecture implementations
High data quality, governance, and performance standards
Alignment of data architecture with business and regulatory needs
Successful enablement of analytics and data-driven decision-making