Role Overview – Cabptoid Solutions is hiring an Azure Data Architect for a full-time, remote position serving USA-based clients and operations. This position is ideal for experienced data professionals with strong Azure cloud expertise, data architecture knowledge, and the ability to design scalable data solutions effectively, lead data initiatives, optimize performance, ensure data governance, and contribute to organizational success within a dynamic cloud solutions and consulting organization.

Azure Data Architecture Design – You will design comprehensive Azure data architectures by analyzing requirements, creating technical designs, and establishing architectural standards. You will design scalable solutions supporting business requirements and technical constraints. You will design data architectures supporting analytics, reporting, and operational needs.

Data Lake and Data Warehouse Design – You will design and implement data lakes and data warehouses using Azure services including Azure Data Lake Storage and Azure Synapse Analytics. You will create solutions supporting big data processing and analytics. You should design enterprise-scale data solutions.

Azure Data Services Implementation – You will implement Azure data services by configuring Azure Data Factory, Azure SQL Database, Azure Cosmos DB, and other data platforms. You will establish data infrastructure supporting applications and analytics. You should be proficient across Azure data portfolio.

How to Apply:

Send your updated CV to niteesha@cabptoidsolutions.com

Please highlight your Azure data architecture expertise, specific examples of complex data solutions you have designed, your proficiency with Azure data services and platforms, expertise in data warehouse and data lake design, data integration and ETL implementation examples, database design and optimization achievements, analytics and BI architecture experience.

About the Company:

Cabptoid Solutions is a professional cloud solutions and consulting organization serving USA-based clients with a strong commitment to data architecture excellence, cloud innovation, and client success.