Work with Business users to gather requirements and conduct weekly meetings for Business Intelligence Team & Data Modelers to create physical and logical data models; Participate in functional and technical meetings for designing the architecture of ETL load process (Mapping, Sessions, workflows from source systems to staging layer; Deliver architectures for transformation and modernization of enterprise data solutions using Azure cloud data technologies; Experience in migrating relational data base from on-prem to cloud using AWS DMS; Develop and implement data integration and processing pipelines using Azure Databricks, leveraging technologies using Apache Spark, Delta Lake; Architect, design and build Data Lake infrastructure platform, primarily based on AWS infrastructure; Build batch and stream based workloads on AWS using AWS EMR, AWS GLUE, AWS Athena, AWS Dynamo DB, AWS REDSHIFT, AWS RDS, AWS Aurora. Skills- Azure cloud data technologies, AWS DMS, Apache Spark, Delta Lake, AWS infrastructure, AWS EMR, AWS Glue, AWS Athena, AWS Dynamo DB, AWS Redshift, AWS RDS & AWS Aurora. Must be willing to travel and/or relocate to work in various worksites throughout the US. No telecommuting.