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
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional de empleo
La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.
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Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
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