Senior Data Architect

Location: Manhattan, NY (Hybrid)

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.