Job Summary
Architect role for a hybrid work model in a global organization focusing on end to end data engineering and analytics solutions using Python and AWS Glue stack for a Property and Casualty insurance portfolio. The architect will design secure scalable and cost efficient data platforms on Amazon S3 that power underwriting claims and pricing insights while collaborating with cross functional business and technology teams.
Responsibilities
Design and architect robust data ingestion and transformation workflows using AWS Glue AWS Glue Studio and AWS Glue ETL to support end to end Property and Casualty insurance analytics use casesDevelop and maintain reusable Python frameworks for data processing quality checks and error handling to ensure reliable and traceable insurance data pipelinesImplement optimized data models and partition strategies on Amazon S3 to support fast retrieval for actuarial analysis underwriting decisions and portfolio management reportingDefine and enforce coding standards data naming conventions and metadata practices to maintain consistency across insurance products policy data claims data and external data sourcesCollaborate with underwriters claims specialists and business analysts to translate insurance domain requirements into technical data solutions that are scalable secure and easily maintainableCoordinate with cloud infrastructure teams to define security controls encryption approaches and access patterns that protect sensitive insurance customer informationEvaluate performance of existing ETL jobs optimize Glue job configurations and refine Python code to reduce processing time and cost while maintaining high reliabilityCreate detailed solution design documents data flow diagrams and data dictionaries that clearly describe the architecture for both technical and non technical stakeholdersGuide development teams on best practices for using AWS Glue Amazon S3 and related AWS services to build resilient and observable data pipelines for insurance datasetsImplement monitoring logging and alerting for critical ETL workloads so that data quality incidents and operational issues are detected and resolved quicklyCoordinate integration of third party data sources such as risk scores weather data and geospatial data to enrich Property and Casualty insurance analytics solutionsSupport testing cycles by defining test data sets validating end to end data flows and confirming that outputs align with expected insurance business metricsDrive continuous improvement by analyzing usage patterns gathering feedback from stakeholders and enhancing data products that deliver measurable impact on loss ratios and customer experience
Qualifications
Possess extensive hands on experience in architecting and developing Python based data solutions with a focus on performance modularity and clear error handlingDemonstrate deep practical expertise with AWS Glue AWS Glue Studio and AWS Glue ETL including job orchestration catalog management and schema evolutionShow advanced knowledge of Amazon S3 including data organization strategies lifecycle policies and integration with analytics and machine learning servicesBring strong Property and Casualty insurance domain understanding covering policy lifecycle claims processing rating underwriting and regulatory reporting needsApply knowledge of data warehousing and lakehouse patterns to design scalable data platforms that support reporting self service analytics and downstream applicationsExhibit proficiency in working within hybrid work models using digital collaboration tools to interact effectively with distributed business and technology teamsDisplay solid experience in requirements analysis solution design documentation and presentation of architecture decisions to both technical and non technical stakeholdersDemonstrate familiarity with data quality frameworks data governance concepts and methods to implement controls that improve trust in key insurance data assets
Certifications Required
Good to have AWS Certified Data Analytics AWS Certified Solutions Architect Associate or Professional certification in Property and Casualty insurance data or analytics is preferred
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
