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 resilienceDevelop robust data models and standards that ensure consistency accuracy and usability of data across analytical and operational platformsImplement data virtualization solutions that provide unified access to diverse data sources while minimizing data movement and duplicationCreate efficient SQL based solutions that optimize query performance support complex analytics and improve time to insight for business teamsDefine and implement data integration patterns that support batch and real time data flows while maintaining reliability and data qualityEstablish DevOps practices for data platforms that automate deployment testing and monitoring to improve delivery speed and platform stabilityCollaborate with cross functional stakeholders to translate business requirements into practical data solutions that deliver measurable valueDevelop and manage data catalog structures that enhance data discovery stewardship and trust through clear definitions and lineageImplement data governance and security controls that protect sensitive information and ensure compliance with regulatory and organizational standardsOptimize data pipelines and platform resources to balance performance cost efficiency and sustainability objectives for the organizationGuide teams in adopting best practices for data design coding standards and documentation to improve maintainability and knowledge sharingPerform impact analysis for changes to data structures and integration flows to reduce risk and ensure continuity of critical business processesMentor 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 lakesDemonstrate strong hands on expertise in SQL including query optimization data modeling and performance tuning in complex environmentsShow proven experience with data virtualization tools and concepts enabling unified access to heterogeneous data sourcesBring solid background in data integration technologies covering batch streaming and API based data movement with focus on reliabilityExhibit practical experience with DevOps or data ops practices including automation of deployment testing and monitoring of data solutionsHave experience implementing and managing data catalog solutions that support metadata management data lineage and governance processesUnderstand data governance privacy and security principles and apply them to design compliant and secure data platformsDisplay 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
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
