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Job Description: Mandatory Skills: Data ingestion (structured, semi-structured & unstructured data sets in batch & real-time ),ADF, Databricks, ETL ,Datawarehouse, Developing pipelines, Data Modeling, Strong SQL Skills, Valuable to have: Python, Kafka( Realtime), Working Knowledge of Middleware, Responsibilities: Develop and maintain scalable architecture, database design and data pipelines and build out recent Data Source integrations to support continuing increases in data volume and complexity Design, develop and maintain the data ingestion and integration frameworks using Azure Cloud Services Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Must possess valuable client-facing experience with the ability to facilitate requirements sessions and lead teams Support internal presentations to technical and business teams Provide technical guidance, mentoring and code review, design level technical best practices Experience Needed: 9 -12 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years experience designing and building analytics solutions in Azure. Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Fac .