Azure Data Architect

Azure Data Architect

Primary Skills

• Azure Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, CosmosDB, Purview, Event Hub, Data Warehousing, Azure Monitoring, Logic App, Data Modelling, Python, SQL
  
  

Job requirements

• Job Description:
• You will work as Data architect who is familiar with Cloud based architectures and DW/BI/Analytics domain knowledge with experience in Microsoft Azure.
• You will partner closely with the clients to deliver state-of-the-art Data solutions.
• You will clearly articulate and communicate with a diverse set of internal and external stakeholders with varying degrees of technical proficiency and deliver critical business and process related information to mitigate any risks or failures.
• You will persistently look for opportunities to address customer needs by being a thought partner in every moment of engagement
  
  
  

Your profile: Must Have:

• 10+ years of experience in Data and Analytics
• 5+ years of experience in Architecting, designing and implementing Modern Data Platforms and Solutions using Microsoft Azure Cloud and understanding of reference architectures.
• Deep understanding Data Migration Strategies with 2+ years of experience in Data Migration and Modernization
• Strong hands-on experience in ETL/ELT methods using Spark or any of the ETL tools like ADF, Databricks, Synapse and any other ETL tool
• Strong hands-on experience in SQL, Advanced SQL, Stored Procedures
• Hands-on experience in Pyspark, Python, Databricks, Synapse,
• Strong experience on Data Modelling Concepts and deep understanding of Star, Snowflake, Denormalized Schema models. Knowledge of Data Vault modelling
• Excellent Analytical and Data Analysis skills
• Deep Expertise in following Microsoft Azure Data Services is must Azure Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse Analytics
• Working knowledge of Microsoft Fabric roadmap and integration with other Azure data services.
  
  
  

Good to Have:

• Work experience in Data Solutioning, Pre-sales, RFP Support, Consulting and Advisory is preferred
• DevOps, CI/CD in Azure Native tools or General DevOps tools is preferred
• Strong understating of Data Management methods, principles and tools are preferred – Data Quality, Metadata Management, Data Cataloguing, Data Lineage, Data Security and Compliance, Azure Purview, Alation, Collibra
• Understanding of Real-time data analytics and good understanding and experience in following Microsoft Azure Data Services is good to have – Azure Event Hub, Azure IOT Hub, Azure Stream Analytics, Azure Data Explorer, Azure Logic App
• Azure DP-203 certification is preferred
• Good Understanding of other MPP Data warehouses or Cloud Data warehouses like Snowflake, Redshift, Teradata, Data stage etc. Is preferred.
• Stay current with emerging Microsoft Fabric capabilities, Azure features, and industry trends to recommend innovative solutions.