Azure Data Architect

Primary Skills

• SQL Server, Stream Analytics, CosmosDB, ETL Fundamentals, Purview, SQL, Event Hub, SQL (Basic + Advanced), Python, Data Warehousing, ADLS G2, AZure Monitoring, Synapse, Data Factory, Logic App, Modern Data Platform Fundamentals, Databricks, Data Explorer, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures, Blob

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:

• 11+ years of experience in Data and Analytics
• 2+ years of experience as a Data Architect
• 3+ years of experience in Architecting, designing and implementing Modern Data Platforms and Solutions using Microsoft Azure Cloud and understands 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 understanding or 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.