Azure Data Solutions Architect
2 weeks ago
Location: Mumbai (Hybrid 3 Days Work from Office)
Company: Vlaunchu
Budget: Up to 25 LPA
Availability: Must be available to join within 15 days
Experience Required:
At least 10 years of experience in architecting, designing, and deploying Azure Data Platforms is required. The ideal candidate will have expertise in end-to-end design, deployment, and delivery of Data Lakes, Data Warehouses, Data Lakehouses, pipelines, Databricks, BI, and Data Analytics solutions.
Key Responsibilities:
As a Cloud Data Architect for Azure, you will be responsible for architecting and implementing comprehensive Azure Data Platforms that include Data Lakes, Data Warehouses, Lakehouses, pipelines, and BI solutions. You will also stay updated on new and emerging Azure technologies and integrate them into existing solutions. Additionally, you will work closely with clients to develop data technology strategies, roadmaps, and plans for delivery. You will provide oversight and support to delivery teams, ensuring adherence to technical architecture standards, policies, and procedures. You will design and build data models, ensuring alignment with business needs and project objectives. You will deliver Infrastructure as Code and manage Azure Data Platforms with a focus on performance, security, and scalability. You will analyze, implement, and resolve issues with existing Azure Data Platforms to improve efficiency and effectiveness. You will engage with business experts to translate business requirements into effective data analytics and reporting solutions. You will assist in scoping, estimation, and task planning for projects, ensuring accurate and complete technical documentation. Finally, you will mentor and provide hands-on guidance to other team members, fostering a collaborative environment.
Technical Skills Required:
A strong experience with Azure Data solutions, including Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL Database, Azure Data Factory, Azure DevOps, and Azure Stream Analytics, is required. Expertise in data modeling, architecture design, and managing Azure Data services is also necessary. Additionally, you should have knowledge of Azure Synapse Analytics, architecture design, Azure Databricks, Azure Data Lake Storage Gen2, roadmaps, data analytics, data warehouses, BI, Azure Data Factory, Azure technologies, Azure Data services, data modeling, and Azure Stream Analytics.
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