Senior Azure Data Architect

🕒 September 3

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 17%

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Exavalu

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Lead the end-to-end design of cloud data warehouses, data lakes, and data pipelines • Connect business goals with technical execution • Architect, build, and maintain complex real-time and batch data pipelines using Azure Data Factory, Python/PySpark, and Databricks • Design and implement modern data warehouse solutions, data models, and data lakes for performance and scalability • Ingest, cleanse, and transform data from diverse sources into structures for analytics • Implement security features including role-based access control, data encryption, and governance via Azure Purview

🎯 Requirements

• 10+ years of experience with a robust hands-on background in Azure data environments • Experience building scalable data warehouses, lakehouses, and storage systems using Azure SQL, Cosmos DB, and Azure Data Lake • Experience creating batch and real-time data ingestion streams using Azure Data Factory, Synapse Analytics, and Event Hubs • Experience optimizing big data processing with Azure Databricks and Microsoft Fabric • Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert

🏖️ Benefits

• Flexible work arrangements, including part-time work, working outside normal 9-5 business hours, or working remotely • Welcome back program to help people return to work after a long break due to health or family reasons • Inclusive workplace welcoming qualified candidates regardless of protected characteristics • Career growth opportunities • Diverse perspectives and ability to make an impact

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