Data Architect

JD :

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 vii. 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 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 xv. 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