Azure Data Architect - R01552245

Bangalore, Karnataka, India
Data and AI – Data and AI : Data Engineering /
Employee /
Hybrid
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.

    • #LI-AM3