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Cognizant

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Architect

Summary

Designs and maintains enterprise-scale data architectures, virtualization layers, and SQL-based analytics platforms while enforcing DevOps practices and governance for secure, compliant data access.



Job Summary

This hybrid role requires an experienced architect with deep expertise in data architecture data virtualization data catalog management DevOps practices SQL and data integration. The architect will design scalable data ecosystems enable secure and compliant data access and support business decision making through reliable data platforms aligned with enterprise strategy.


Responsibilities

  • Design and maintain a comprehensive enterprise data architecture that aligns with organizational strategy and supports long term scalability and resilience
  • Develop robust data models and standards that ensure consistency accuracy and usability of data across analytical and operational platforms
  • Implement data virtualization solutions that provide unified access to diverse data sources while minimizing data movement and duplication
  • Create efficient SQL based solutions that optimize query performance support complex analytics and improve time to insight for business teams
  • Define and implement data integration patterns that support batch and real time data flows while maintaining reliability and data quality
  • Establish DevOps practices for data platforms that automate deployment testing and monitoring to improve delivery speed and platform stability
  • Collaborate with cross functional stakeholders to translate business requirements into practical data solutions that deliver measurable value
  • Develop and manage data catalog structures that enhance data discovery stewardship and trust through clear definitions and lineage
  • Implement data governance and security controls that protect sensitive information and ensure compliance with regulatory and organizational standards
  • Optimize data pipelines and platform resources to balance performance cost efficiency and sustainability objectives for the organization
  • Guide teams in adopting best practices for data design coding standards and documentation to improve maintainability and knowledge sharing
  • Perform impact analysis for changes to data structures and integration flows to reduce risk and ensure continuity of critical business processes
  • Mentor peers on modern data architecture patterns to build organizational capability and support a culture of continuous improvement

    • Qualifications

  • Possess extensive experience in designing enterprise data architectures that support analytics platforms data warehouses and data lakes
  • Demonstrate strong hands on expertise in SQL including query optimization data modeling and performance tuning in complex environments
  • Show proven experience with data virtualization tools and concepts enabling unified access to heterogeneous data sources
  • Bring solid background in data integration technologies covering batch streaming and API based data movement with focus on reliability
  • Exhibit practical experience with DevOps or data ops practices including automation of deployment testing and monitoring of data solutions
  • Have experience implementing and managing data catalog solutions that support metadata management data lineage and governance processes
  • Understand data governance privacy and security principles and apply them to design compliant and secure data platforms
  • Display strong communication and collaboration skills to work effectively with technical and non technical stakeholders in a hybrid work model


    • Certifications Required

    Preferred certifications include data engineering or architecture credentials such as Azure Data Engineer Associate or Google Professional Data Engineer

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    See also

    ArchitectureAzureRemote WorldwideJavaScriptPython