Data & Ai Architect - Zurich Insurance Group

OverviewAs a Data & AI Architect at Zurich TDC, you will design and lead data and AI solutions for local and global customers, predominantly on cloud platforms (AWS and Azure).You’ll align architectures with enterprise standards, guide implementation, and contribute to architectural governance.You’ll work with cross-functional teams to ensure scalable, robust data and AI capabilities that support Zurich’s strategic goals.This role offers hands-on influence over technology choices and patterns in a collaborative, innovative environment.Compensaciones / Beneficiosflexible working modelhome office allowancetraining and language classeshealth insurancelife and accident insuranceretirement planResponsabilidadesDesign end-to-end data and AI architectures (As-Is/To-Be) for products and platformsEvaluate options against standards and reuse components to accelerate deliveryProvide architectural guidance for data and AI use cases across teamsTranslate designs into detailed specifications and assess change impactsProduce architecture documentation and contribute to standards and patternsSupport governance, architecture reviews, and cross-functional collaborationRequisitos principalesExperience architecting data and AI solutionsData modelling experience (3rd normal form, data vault, dimensional modelling)Experience with data pipeline tools (Azure Data Factory, SSIS, Informatica, Databricks, Snowflake, AWS Glue)Database and lake experience (Azure SQL, DB2, Azure Data Lake, Databricks lakehouse, Snowflake, AWS RDS)Azure and/or AWS experienceKnowledge of CI/CD and Infrastructure as Code (Terraform) is advantageousContainers and orchestration (AKS/EKS) advantageousAPIs, Power BI, Python/Scala/SQL knowledge advantageousInsurance industry experience advantageousAnalytical and problem-solving capabilities; proactivityExcellent English and communication skillsWillingness to adopt new technologies and architecturesAnalytical thinkingProactivityEffective communicationAzure Data FactorySSISInformatica

Data modelling experience (3rd normal form, data vault, dimensional modelling) Experience with data pipeline tools (Azure Data Factory, SSIS, Informatica, Databricks, Snowflake, AWS Glue) Database and lake experience (Azure SQL, DB2, Azure Data Lake, Databricks lakehouse, Snowflake, AWS RDS) Azure and/or AWS experience Knowledge of CI/CD and Infrastructure as Code (Terraform) is advantageous Containers and orchestration (AKS/EKS) advantageous APIs, Power BI, Python/Scala/SQL knowledge advantageous Insurance industry experience advantageous Analytical and problem-solving capabilities; proactivity Excellent English and communication skills Willingness to adopt new technologies and architectures Analytical thinking Proactivity Effective communication Azure Data Factory SSIS Informatica