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Data Engineer _Fabric_Purview_5+ Years_PAN India Functional Practices: Data Engineering Job Type: Permanent Contact Name: Jagrati Taneja Contact Email: Job Ref: 126581 Published: about 17 hours ago Microsoft Fabric Data Architect Summary We are looking for a Microsoft Fabric Data Architect with strong expertise in Microsoft Fabric and Microsoft Purview to design, implement, and govern enterprise-scale modern data platforms. The role will focus on building scalable data architectures using Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Engineering, and Data Pipelines, while establishing robust data governance, metadata management, lineage, cataloging, and compliance frameworks through Microsoft Purview. Location: Noida | Gurugram | Bangalore | Pune | Hybrid Your Future Employer A leading organization driving enterprise data modernization and analytics transformation through modern cloud data platforms. Responsibilities - Design and implement end-to-end enterprise data architectures using Microsoft Fabric, from architecture through deployment. - Build and optimize Lakehouse, OneLake, Data Warehouse, Data Pipelines, and Data Engineering solutions for enterprise-scale data platforms. - Design scalable data models, semantic models, and analytics solutions, integrating Microsoft Fabric with Power BI and Azure data services. - Implement Microsoft Purview for data cataloging, metadata management, lineage, classification, business glossary, and enterprise data governance. - Drive data quality, security, privacy, compliance, performance, and cost optimization while collaborating with data engineers, BI teams, architects, and business stakeholders. Requirements - 5-7 years of experience in Data Engineering/Data Architecture with strong hands-on experience in Microsoft Fabric implementation. - Expertise in Lakehouse, OneLake, Data Warehouse, Data Factory, Data Engineering, Dataflows Gen2, and Real-Time Analytics. - Strong hands-on experience with Microsoft Purview, including Data Catalog, Data Lineage, Metadata Management, Business Glossary, Data Discovery & Classification, and Data Governance. - Proficiency in SQL, PySpark, and ETL/ELT pipeline development, along with Power BI integration and semantic modeling. - Strong knowledge of Azure Data Services including ADLS Gen2, Azure SQL, Synapse Analytics, and Azure Data Factory, with a solid understanding of data governance, security, compliance, and data quality. What is in it for you - Opportunity to architect enterprise-scale Microsoft Fabric data platforms. - Work extensively with Microsoft Fabric, OneLake, and Microsoft Purview. - Drive contemporary data platform implementation and governance initiatives. - Work across data architecture, engineering, analytics, and enterprise data governance. - Opportunity to contribute to cloud migration and data platform modernization initiatives. - Collaborate with senior stakeholders and cross-functional data and technology teams. Reach Us If you think this role is aligned with your career, kindly write me an email along with your updated CV for a confidential discussion on the role. Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging, memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note We receive a lot of applications on a daily basis, so it becomes difficult for us to get back to every candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us within 1 week. Your patience is highly appreciated. Scammers can misuse Crescendo Global's name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all and report fraud immediately. Stay alert! Profile Keywords Crescendo Global, Microsoft Fabric, Microsoft Fabric Data Architect, Fabric Data Architect Jobs, Microsoft Purview, Data Architecture Jobs, Data Engineering Jobs, OneLake, Lakehouse, Fabric Data Warehouse, Data Pipelines, Data Engineering, Dataflows Gen2, Real-Time Analytics, Data Governance, Data Catalog, Data Lineage, Metadata Management, Business Glossary, Data Classification, SQL, PySpark, Power BI, Semantic Modeling, Azure Data Services, ADLS Gen2, Azure SQL, Azure Synapse, Azure Data Factory .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.