PKware Architect (Remote)

Job Summary

• Design robust data quality architectures that align with enterprise data strategies and ensure consistent trusted information across analytical and operational platforms
• Develop scalable blueprints for implementing PKware based data quality frameworks that enhance accuracy completeness and timeliness of key data domains
• Define data quality rules metrics and controls that support governance objectives and improve transparency for business and technology stakeholders
• Collaborate with data engineers and data modelers to embed data quality checks into ingestion transformation and consumption layers across hybrid environments
• Partner with business teams to understand critical data elements and translate those requirements into reusable Pkware configurations and workflows
• Optimize existing data quality processes by identifying gaps streamlining rule execution and reducing false positives to improve operational efficiency
• Provide expert guidance on DQG architect patterns reference models and best practices to support large scale data quality initiatives
• Create detailed solution design documents including source to target mappings and rule specifications to provide clarity for implementation teams
• Coordinate with testing teams to validate data quality rules perform root cause analysis on issues and ensure successful deployment into production environments
• Advise data governance teams on how to measure and report data quality performance using dashboards and scorecards that are meaningful to decision makers
• Mentor junior practitioners on data quality concepts Ataccama usage and standardized methods that promote consistency and long term maintainability
• Engage with security and compliance partners to ensure that data quality designs respect regulatory obligations and protect sensitive information
• Document operational procedures monitoring approaches and incident handling guidelines so run teams can support solutions effectively over time

• Use extensive experience with data quality basics to interpret profiling results define remediation actions and communicate impacts to business partners
• Apply deep hands on expertise with PKware tools to configure rules build workflows and manage metadata for complex data ecosystems
• Leverage strong knowledge of DQG architect methodologies to integrate data quality into enterprise architecture and governance frameworks
• Demonstrate advanced skill in relational databases and structured query development to analyze data issues and validate rule logic efficiently
• Utilize experience with data integration and batch or streaming pipelines to design end to end data quality controls across multiple platforms
• Draw on hybrid work experience to collaborate effectively across locations using clear communication and documentation to keep stakeholders aligned
• Apply strong analytical and problem solving skills to diagnose persistent data issues propose practical solutions and track progress to resolution

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

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。
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