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Azure Data Architect
Fractal · Bengaluru
On-site / hybridData Engineering 251 days ago
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About the job
Skills mentioned in this posting (9)
SQLAIAzureCloudETLPower BIAnalyticsDatabricksBusiness Intelligence
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It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Azure Data Architect
Fractal is a strategic AI and analytics partner to Fortune 500 companies, powering human decisions at scale by integrating AI, Engineering, and Design. With 5000+ consultants across 16 global locations, Fractal combines cutting-edge technology with human-centered design.
Responsibilities:
- Design and implement scalable data storage solutions using Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage Gen2.
- Develop and manage data integration pipelines leveraging Azure Data Factory, Synapse Pipelines, and Event Hubs for batch and streaming ingestion.
- Architect and optimize data processing frameworks with Azure Databricks, Synapse Analytics, and Azure Stream Analytics to support advanced analytics and real-time insights.
- Establish and enforce data governance policies using Microsoft Purview, ensuring compliance, lineage tracking, and metadata management.
- Implement security and identity controls through Azure Active Directory, Role-Based Access Control (RBAC), and Azure Key Vault.
- Enable business intelligence and reporting with Power BI, Azure Analysis Services, and Synapse for enterprise-wide dashboards and analytics.
- Drive performance optimization and scalability using Azure Monitor, Application Insights, and Autoscale features to ensure high availability and efficiency.
- Collaborate with cross-functional teams to align data architecture with organizational goals, leveraging Azure-native services for innovation and cost efficiency.
Skills & Qualifications:
- 8-12 years of proven experience in data architecture, data engineering, or cloud solution design with a focus on Azure services.
- Strong expertise in Azure SQL Database, Cosmos DB, and Data Lake Storage for structured and unstructured data management.
- Hands-on experience with Azure Data Factory, Synapse Pipelines, and Event Hubs for ETL/ELT and real-time ingestion.
- Proficiency in Azure Databricks, Synapse Analytics, and Stream Analytics for big data and advanced analytics workloads.
- Knowledge of data governance frameworks and tools such as Microsoft Purview, with emphasis on compliance and metadata management.
- Familiarity with identity and security management using Azure Active Directory, RBAC, and Key Vault.
- Strong skills in business intelligence and visualization using Power BI and Azure Analysis Services.
- Experience with monitoring and optimization tools such as Azure Monitor, Application Insights, and Advisor.
- Solid understanding of cloud architecture principles, scalability, and cost optimization strategies in Azure.
- Excellent communication and collaboration skills to work with stakeholders across technical and business teams.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field; Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate) are highly desirable.
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