Azure Architect

3 weeks ago


india TEKNIKOZ Full time

Responsibilities:

  • Develop and maintain scalable architecture, database design and data pipelines and build out new 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 good 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:

  • 10 -15 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 Factory, and Azure Analysis Services and other ETL technologies.
  • Experience in Perform Design, Development & Deployment using Azure Services (Azure Synapse, Data Factory, Azure Data Lake Storage, Python)
  • Worked with transactional, temporal, time series, and structured and unstructured data.


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