Job Summary
This hybrid role as a Data Platform Administrator focuses on designing building and maintaining secure and scalable data platforms that power enterprise applications using Java twenty one Core Java Springboot microservices Angular versions thirteen to eighteen and Claude API integration. The role ensures reliable data access for asset and wealth management solutions while supporting day shift operations without travel enabling consistent delivery of insights and services that help custom
Responsibilities
- Design and maintain robust data platform components that support high volume transactional applications built with Java twenty one and Core Java ensuring reliable performance for critical enterprise workloads.
- Develop and optimize Springboot based microservices that enable secure data access and transformation across multiple systems contributing to efficient information flow for downstream applications.
- Implement Claude API integrations that support intelligent data processing workflows enabling automation of insights extraction to improve decision support for internal and external stakeholders.
- Build and enhance responsive user interface modules using Angular versions thirteen to eighteen that provide intuitive access to platform monitoring dashboards and data management tools for business users.
- Configure data platform environments in a hybrid work model ensuring consistent connectivity secure access controls and smooth day to day operation for onsite and remote team members.
- Monitor platform performance and capacity using standardized observability tools identifying bottlenecks and implementing tuning measures that improve system stability and response times.
- Administer data access policies backup processes and recovery procedures ensuring compliance with organizational standards and minimizing risk of data loss or unauthorized access.
- Collaborate with architects developers and data engineers to refine platform architecture patterns so that microservices and user interfaces align with long term scalability and maintainability goals.
- Implement automated deployment and configuration routines for platform services to reduce manual intervention and support reliable delivery across development testing and production environments.
- Analyze incidents and defects related to platform components perform root cause analysis and apply corrective actions that strengthen resilience and reduce future service disruptions.
- Coordinate with asset and wealth management domain experts when applicable to align data models and service interfaces with portfolio reporting regulatory requirements and client experience objectives.
- Provide clear technical documentation for services APIs configuration standards and operational procedures enabling consistent knowledge sharing and smoother onboarding for new team members.
- Support day shift operations through proactive monitoring and timely communication with cross functional teams ensuring that platform services remain available for business critical processes.
Qualifications
- Apply strong Java twenty one and Core Java programming expertise to implement reliable microservice logic and data handling that meets enterprise quality and performance expectations.
- Use advanced Springboot microservices experience to design modular services with clear contracts that simplify integration support fault isolation and holistic platform administration.
- Leverage experience with Claude API to orchestrate data enrichment and intelligent processing pipelines that contribute to smarter analytics and improved business outcomes.
- Utilize hands on skills in Angular versions thirteen to eighteen to deliver maintainable front end components for administration consoles data exploration tools and operator workflows.
- Bring comprehensive understanding of data platforms and distributed systems to ensure secure storage efficient retrieval and compliant management of structured and semi structured information.
- Draw on experience in asset and wealth management domain when available to interpret data models reporting needs and regulatory constraints in ways that make platform features more relevant for financial stakeholders.
- Demonstrate proficiency with hybrid work practices collaboration tools and documentation standards to maintain productivity and alignment across colocated and remote contributors during day shifts.
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。
