Azure Data Architect
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Role: Azure Data Architect
Experience: 8+ years
Location: Pan India
Required Technical Skill Set
• Azure Data Architect with strong experience in Designing and Implementing Data Lake, Data Warehouse and Data ingestion and processing pipeline using various Azure services. Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse
Must-Have
• Design & Implement ETL/data pipeline and Data Lake/ Datawarehouse in Azure
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure data and analytics services/technologies.
• 10+ years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Azure data platform covering - ADF, ADLS, Synapse, Microsoft Fabric, Databricks etc.
• Extensive hands-on experience implementing data ingestion and data processing using Azure services: Data Share, Synapse Analytics, Databricks, Kafka, Nifi, CDC processing, Azure Data Explorer, HDInsight, Data Lake Storage , Snowflake, SQL Database, Cosmos DB, Docker, Azure Functions , Spark, Data Factory, API Management etc.
• Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Attunity, Golden Gate ,Azure Data Explorer , Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala, etc.
Design and Implement analytics solution that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Create data tools for analytics and data scientist team members that assist them in building and optimizing products
• At least one End-to-end Azure data platform implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage).
• Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts.
• Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement.
• Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts.
• Excellent communication skills to liaise with Business & IT stakeholders.
• Expertise in planning execution of a project and efforts estimation.
• Understanding of Data Vault, data mesh and data fabric architecture patterns.
• Exposure to working in Agile ways of working.
Nice-to-have:
• Experience in coding languages like Python and PySpark would be an added advantage.
• Experience in DevOps, CI/CD, GitHub is a big plus.
• IoT/event-driven/microservices in the cloud- Experience with private and public cloud architectures using IoT Hub, IoT Edge , Event Hubs.
• Certified: Microsoft Azure Architect ( AZ-301 and above )
• Any Professional/Specialty Azure certification
• Cloud native development and deployment in prod
• Data Analysis, maintenance, and support experience in cloud infra
• Data migration and multi-region replication experience
Thanks & Regards
Shubhangi