Senior Data Architect
United IT Solutions
Role:- Senior Data Architect
Location:- Manhattan, NY (Hybrid) Technical Skills & Requirements:
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.
- 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.
Vacancy posted 1 day ago
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