Role: Senior Fabric Architect
Location: London (Hybrid)
Employment: Fulltime
The opportunity
We are looking for an experienced Microsoft Fabric Technical Architect to help design, build and optimise modern enterprise data and analytics solutions. Combining hands-on engineering with technical leadership, you will shape scalable, secure and well-governed data platforms, support the migration of legacy analytics workloads to Microsoft Fabric, and enable teams to deliver trusted data products and insights.
What you’ll do
· Provide technical leadership across Microsoft Fabric architecture, engineering and implementation, advising on the appropriate use of Data Factory, Dataflows Gen2, notebooks, Lakehouse, semantic models and Direct Lake.
· Design and deliver production-grade data platforms, Lakehouse solutions and pipelines, applying Medallion (Bronze/Silver/Gold) architecture and dimensional modelling principles.
· Lead or contribute to migration from legacy data and analytics solutions, including SQL Server datasets and Alteryx workflows, to Fabric pipelines, Dataflows and other suitable Fabric capabilities.
· Develop new analytics solutions and reusable data assets that support business requirements and improve time to insight.
· Integrate Fabric with enterprise applications and cloud-based systems, including ERP and CRM platforms.
· Implement and maintain engineering standards for CI/CD, Git-based version control, automated deployment and environment promotion.
· Apply data governance, security and compliance controls, including Microsoft Purview, OneLake security, role-based access control (RBAC), data lineage and classification.
· Monitor and optimise pipeline, query, storage, semantic model and capacity performance, balancing service quality with efficient platform utilisation and cost.
· Review technical designs and delivery from internal teams and external partners, ensuring solutions meet architecture, quality, performance, security and documentation standards.
· Produce clear technical documentation, including architecture diagrams, pipeline designs, runbooks, deployment guides and architecture decision records, and support knowledge transfer.
· Work collaboratively with data engineers, analysts, architects, DevOps specialists, delivery teams and business stakeholders to resolve issues and deliver reliable outcomes.
Essential experience and skills
· Proven hands-on experience designing and delivering Microsoft Fabric solutions in an enterprise environment.
· Strong data engineering skills, including data pipelines, Lakehouse architecture, Medallion design patterns and dimensional modelling.
· Practical proficiency in DAX, T-SQL, Python and PowerShell.
· Experience with Power BI optimisation and Direct Lake.
· Knowledge and practical experience of data governance and security, including Microsoft Purview and access control.
· Experience implementing CI/CD, Git-based version control and DevOps practices for data solutions.
· Ability to troubleshoot complex technical issues and deliver scalable, secure, production-ready solutions.
· Strong communication and stakeholder-management skills, with the ability to explain technical decisions and influence delivery teams.
Desirable
· Experience working in financial services or another regulated environment.
· Experience delivering large-scale data and analytics migrations, including legacy platform decommissioning.
· Experience working with multiple delivery partners or vendors.
· Microsoft Fabric certification, such as DP-700, or an equivalent relevant certification.
How you’ll work
You’ll be hands-on, pragmatic and delivery-focused, with strong analytical and troubleshooting skills. You’ll be comfortable working across distributed teams, constructively challenging design decisions, and helping others adopt consistent engineering practices. You’ll balance architectural quality with the practical needs of delivery and business users.
What success looks like
· Reliable, well-governed data pipelines, models and data products delivered to production.
· Successful migration of priority datasets and analytics workflows to Microsoft Fabric.
· Improved platform adoption, data quality, performance and delivery speed.
· Reduced reliance on legacy analytics platforms and more efficient use of platform capacity.
· Clear technical documentation and effective knowledge transfer that build capability within the wider team.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: 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, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
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.
