Data Architect

 

Description:

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).