Azure Data Architect with Strong Data Modeling Experience

We are seeking an experienced Azure Data Architect / Data Modeler with a strong Insurance background to design and implement enterprise-grade, end-to-end data architectures using Azure-native services. This role focuses on building scalable, high-performance cloud data platforms, defining robust architectural standards, and translating insurance business requirements into reliable, secure, and cost-optimized data solutions. P&C insurance experience is required. Key Responsibilitie • sDesign and implement end-to-end data architectures using Azure-native services • .Act as both Azure Data Architect and Data Modeler: develop insurance-specific logical and physical data models aligned to business KPIs, underwriting, claims, policy administration, and reporting needs • .Architect scalable data platforms that support ingestion, transformation, orchestration, and analytics workloads • .Define and optimize data pipelines for performance, scalability, reliability, and cost efficiency • .Establish and enforce data governance, metadata management, security controls, and architectural standards and best practices • .Apply distributed data processing principles to large-scale data environments and ensure model performance at scale • .Collaborate with business stakeholders, domain SMEs, data engineers, analytics, and BI teams to translate insurance requirements into maintainable, scalable solutions • .Provide technical leadership and mentoring for data modelling, data engineering, and analytics initiatives . Required Skills & Qualificatio • nsDemonstrated hands-on experience wit • h:Azure Data Lake Storage (ADL • S)Azure Data Factory (AD • F)Azure Synapse Analyti • csAzure S • QLProven experience designing and implementing enterprise-scale data pipelines (ingestion, transformation, orchestration • ).Strong experience creating insurance-specific data models (policy, claims, billing, rating), with P&C domain experience preferre • d.Solid track record implementing data governance frameworks, data lineage, and architectural best practice • s.Deep understanding of distributed data processing concepts and performance optimizatio • n.Excellent collaboration and communication skills; comfortable working with both technical teams and insurance business stakeholder • s.Experience translating regulatory and actuarial reporting requirements into data model and pipeline design s. Preferred Ski • llsHands-on experience with Azure Databricks and PySpark for large-scale data processi • ng.Experience defining standards for Databricks workloads, Spark-based pipelines, and data science model integration with production data platfor • ms.Prior experience delivering cloud-based data and analytics initiatives for Insurance (P&C preferre • d).Familiarity with insurance source systems (policy administration, claims management, rating engines) and common data fee • ds.Strong analytical and problem-solving skills, with experience in cost optimization for cloud data platfor ms.