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Mid-Senior level
We're Hiring: Data Architect – Azure & Microsoft Data Platform
📍 Location: Uttara, Dhaka
💼 Employment: Full-Time | Onsite
🗓️ Working Days: Monday–Friday
🕚 Office Hours: 11:00 AM – 8:00 PM
🏢 Company: Deep Mind Labs Limited
Deep Mind Labs Limited is looking for an experienced, hands-on Data Architect to design and implement scalable, secure, and high-performance enterprise data platforms.
We are looking for someone who understands the complete data lifecycle — from source systems, data modeling and ETL/ELT to Data Warehouse/Lakehouse, analytics, Dataverse, Power Platform, and AI-ready data architecture.
This is not a documentation-only architecture role. The successful candidate should be comfortable designing the architecture and working hands-on with Azure Data Factory, Microsoft SQL Server, Azure SQL, Microsoft Fabric, and enterprise data pipelines.
Microsoft Certified: Fabric Data Engineer Associate – DP-700
Microsoft Certified: Fabric Analytics Engineer Associate – DP-600
Relevant Microsoft Applied Skills credentials in SQL, Microsoft Fabric, Azure Data, Data Engineering, Data Warehousing, Lakehouse, ETL/ELT, and Analytics are also highly valued.
Certifications are preferred, but strong hands-on enterprise implementation experience is more important.
How to Apply
Please send your CV/Resume along with the following information:
Important: Please briefly describe one enterprise Data Architecture or ETL/ELT solution that you personally designed and implemented, including the technologies used and your specific role.
Deep Mind Labs Limited
Building intelligent enterprise solutions with AI, Data, Cloud & Business Applications.
#Hiring #DataArchitect #DataEngineering #AzureDataFactory #ADF #MicrosoftSQLServer #AzureSQL #MicrosoftFabric #DP700 #DP600 #SQLAI #DataModeling #ETL #ELT #DataWarehouse #DataLake #Lakehouse #Dataverse #AzureData #MicrosoftData #EnterpriseData #DhakaJobs #BangladeshJobs
Other benefits are as per company policy.
Work at office
Contractual
Dhaka
Applications for this job are handled on the company's own website.
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