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1685 - Azure Data Architect/Consultant

US Citizenship


  • Architect a data platform in an MS Azure based Data Analytics and Visualization platform and set-up a Data Pipeline to ingest large EMR datasets
  • Design and develop data management, data operations and visualization in cloud using services like ADF, Azure Synapse, DataBricks, BLOB storage, AzureSQL and PowerBI
  • Understanding the use-cases and propose approaches for Data ingestion from external partners into the FedRAMP authorized environment from external partners, overall Data Management, Data consolidation, QA/QC and ETL
  • Collaborate with the team to implement a POC, using a large sample EMR dataset and move it through the data pipeline from ingestion, preparation, ML computation in R & Python and presentation
  • Consult on approaches for data platform budgeting and data governance
  • Consult on best-practices approach for storage organization set-up, security set-up within the confines of the Azure data analytics and visualization platform


  • Bachelor’s degree in computer science, information systems or related fields with a minimum of 7 years’ experience
  • Hands-on experience designing, developing, testing, deploying and supporting data engineering and analytics solutions using Microsoft cloud-based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, ML computation in R & Python, Azure Synapse, Azure Key Vault and Power BI/Tableau
  • Hands-on experience in creating components in ADF using Linked Services/Datasets/Pipeline to Extract, Transform and Load data from different sources like Azure SQL, Blob storage, Azure Event Hubs/Event Grid, Azure SQL Data warehouse
  • Hands-on experience with creating reports and dashboards for insights into data
  • Experience to implement data models of different schemas and working with diverse data source types
  • Experience in using AzureSQL, BLOB storage, Azure Functions, T-SQL, Python programming
  • Hands on experience with MS SQL Server
  • Experience in implementing data models of different schemas and working with diverse data source types
  • Hands-on experience developing and supporting Python based AI/ML solutions
  • Experience using source control and DevOps tools (such as, Git/Bitbucket, Atlassian Confluence, Jira)


  • Hands-on experience using big data technologies such as Hadoop, HIVE, Kutso Query Language, Spark etc
  • Experience in creating functional and technical designs for data engineering and analytics solutions
  • Microsoft Certified Azure Solutions Architect/ Azure Data Engineer Associate
  • Prior CDC and Public Health experience