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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
