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
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français.
Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, de l'information génétique, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée telle que décrite par les lois fédérales, provinciales ou locales.
Si vous avez un handicap qui nécessite un aménagement raisonnable pour rechercher une offre d'emploi ou poser une candidature, envoyiez un courriel à [email protected] avec votre demande et vos coordonnées.
