About The Role

We are seeking an experienced and highly skilled Data Architect with strong expertise in Microsoft Fabric, Azure Data Platform, Databricks, and Apache Spark to lead the design and implementation of enterprise-scale data modernization initiatives.
The ideal candidate will have extensive experience architecting cloud-native data platforms, defining data strategies, and delivering scalable, secure, and high-performing data solutions across complex business environments.
This role requires deep technical knowledge of Microsoft Azure data services, modern data architecture patterns, data governance frameworks, and large-scale analytics platforms. Experience within the Insurance domain is highly desirable.

Define and drive enterprise data architecture strategies aligned with business objectives and technology roadmaps.
Design scalable, secure, and high-performance data platforms leveraging Microsoft Fabric, Azure, and Databricks ecosystems.
Establish architecture standards, best practices, reusable design patterns, and governance frameworks for enterprise data solutions.
Lead cloud data modernization and migration initiatives from legacy platforms to cloud-native architectures.
Create architecture blueprints, reference architectures, and implementation roadmaps.

Architect and implement end-to-end solutions using:
Microsoft Fabric Lakehouse
Fabric Data Warehouse
Data Pipelines
Real-Time Analytics
OneLake
Power BI Integration
Design Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric.
Drive Fabric deployment strategies, performance optimization, and environment governance.
Implement Fabric security, access controls, lineage, monitoring, and data lifecycle management.

Define enterprise data governance standards.
Implement metadata management, lineage, cataloging, and data quality frameworks.
Partner with security teams to ensure data privacy, compliance, and regulatory adherence.
Enable business-friendly data discovery and self-service analytics.

Collaborate with business leaders, product owners, engineering teams, and program stakeholders.
Translate business requirements into scalable technical architectures.
Lead architecture reviews, design workshops, and solution governance forums.
Provide technical leadership and mentorship to data engineering teams

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
Minimum 10 years of experience in Data Engineering, Data Architecture, or Data Platform leadership roles.
Strong experience designing and architecting data solutions in cloud environments.