Description

Technical Skills & Requirements:

• Advanced hands-on expertise in designing and modeling enterprise data architectures (cloud-native, hybrid, lakehouse, distributed, real-time).
• Deep experience with data management, advanced data modeling (conceptual, logical, physical), insurance data schemas, and master data/reference data frameworks.
• Proven delivery across modern data technology stacks—Databricks, Snowflake, Spark, AWS/Azure/GCP data services, streaming/data integration platforms, metadata/cataloging tools.
• Expertise in Medallion architecture, batch/streaming pipeline design, external data augmentation.
• In-depth understanding of metadata management, data governance, lineage, cataloging, residency and security/privacy frameworks.
• Familiarity with insurance business models, core platforms (Guidewire, Duck Creek, Majesco), and regulatory/compliance-driven architecture requirements.
• Ability to assess legacy and modern architectures, and transition organizations toward future state aligned with business goals.
• Experience driving transformation of architecture standards and best practices across globally distributed teams.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, or related field; advanced degree highly preferred.
• 12+ years’ experience in data architecture, data modeling, and enterprise data management with 5+ years in senior leadership roles.
• Significant insurance industry experience, ideally within P&C and Specialty, with deep understanding of industry data requirements.
• Proven track record architecting, delivering, and governing complex data solutions for operational, analytical, and regulatory purposes in global organizations.
• Expertise building and formalizing insurance data models, frameworks, and best practices.
• Experience leading architectural teams, driving transformation and adoption of modern data architectures and governance.
• Excellent technical leadership, stakeholder management, communication, and problem-solving skills.
• Professional certifications in data architecture, cloud platforms (AWS, Azure, GCP), and insurance data management are highly desirable.
• data architect from tiger /fractal analytics with some experience on client handling

Key Skills

Education

Any Graduate