We are seeking an experienced Microsoft Fabric Technical Architect to lead the design, implementation, and optimization of enterprise data solutions within a large-scale analytics transformation programme.
In this role, you will provide hands-on technical leadership across Microsoft Fabric, supporting the migration of legacy analytics platforms, delivering modern data solutions, and enabling a scalable, governed self-service analytics environment. You will work closely with business stakeholders, delivery squads, and external partners to ensure solutions align with architecture standards, governance requirements, and business objectives.
Key Responsibilities
- Lead the design and delivery of scalable data solutions using Microsoft Fabric.
- Architect and implement Lakehouse, Medallion, semantic model, and Direct Lake solutions.
- Build and optimize end-to-end data pipelines, data products, and analytics-ready datasets.
- Drive migration of analytics workloads from legacy platforms such as SQL Server, Alteryx, Tableau, and Cognos to Microsoft Fabric.
- Establish best practices for governance, security, performance, and cost optimization.
- Implement CI/CD, Git-based development, and DevOps delivery practices.
- Provide technical oversight, quality assurance, and architectural guidance across delivery teams and partners.
- Support business users through the enablement of governed self-service analytics capabilities.
Required Experience
- Proven hands-on experience delivering Microsoft Fabric data engineering and analytics solutions.
- Strong expertise in:
- Data engineering and modern data platforms
- Lakehouse and Medallion architecture
- Data pipelines and orchestration
- Power BI, semantic models, and Direct Lake
- Data governance and security frameworks
- Proficiency in T-SQL, Python, DAX, and Git-based development practices.
- Experience implementing CI/CD, DevOps, and enterprise-scale data solutions.
- Strong stakeholder management and communication skills.
Preferred Qualifications
- Microsoft Fabric certification (DP-700 or equivalent).
- Experience with large-scale data migration and modernization programmes.
- Knowledge of Microsoft Purview and data governance frameworks.
- Experience working within financial services or other regulated environments.
What We're Looking For
You are a hands-on, delivery-focused architect who combines deep technical expertise with strong problem-solving abilities. You can influence stakeholders, collaborate across multidisciplinary teams, and drive the successful delivery of scalable, secure, and high-performing data solutions.
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Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: 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, provincial or local laws.
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.











