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Cloud Architect (Kennesaw, Georgia, United States, 30144)

LinkedIn Mohawk Industries Kennesaw, GA
Not Applicable Posted March 14, 2026 Job link
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Requirements
  • Served as Cloud Data Architect for implementing Azure Cloud Data platform and services.
  • Azure Data Factory
  • Azure Databricks
  • Azure Databricks Unity Catalog
  • Azure Data Lake Storage
  • Spark Engine
  • Power BI/ Microsoft Fabric
  • Microsoft Purview
  • DBT
  • Azure infrastructure
  • Strong experience in extracting, transformation, and landing data from various sources into data lakes, data warehouses and data marts using ETL tools such as Azure data factory and Custom Scripts.
  • Implement and enhance the automated release process by which Azure DevOps (ADO) offering software flows from the developers to the customers.
  • Define next generation CI/CD processes and support test automation framework in the Microsoft Cloud as part of the build engineering team.
  • Strong experience in working with data transformation tool DBT (Data Build Tool) on top of Azure Databricks.
  • Experience in developing spark applications using Spark-SQL in databricks for data extraction, transformation, and aggregation from multiple file format for analyzing and transforming the data to uncover insights into the customer usage pattern.
  • Good understanding of Spark Architecture including spark Core, spark SQL, Data frame, Spark Streaming, driver Node, worker node, stages, executors, and tasks.
  • Deploying Databricks Notebooks using programming languages spark framework.
  • Perform problem assessment, resolution, and documentation in existing ETL packages, mapping, and workflows in production of Azure Data Factory, Azure Function Apps and Logic Apps.
  • Implementing Cloud data solution utilizing on-prem and cloud solutions.
  • Extensive experience with Microsoft ecosystem such as: Power BI service, Azure Data Lake Storage, Azure Databricks, Azure SQL IAAS/PAAS/SAAS etc.
  • Load delta records from source to target utilizing CDC on type 1, type 2 and type 3 slowly changing dimension.
  • Understands business requirements and translates into technical solutions, and data mappings.
  • Experience in configuring and managing Azure Virtual networks (Vnets), Hub and spoke network architecture, subnets and network security groups.
  • Experience in Azure cloud resource management e.g. create, configure, and manage Azure resources (e.g. virtual machines, storage accounts, networks).
  • Experience in monitoring azure resources, identify issues and troubleshooting problems.
  • Optimize azure resource usage and costs.
  • Experience in security and compliance.
  • Implementation and monitoring of security measure (e.g. firewalls, access control, encryption).
  • Experience in automating tasks using Azure CLI, Power Shell, and Azure Resource Manager (ARM).
  • Experience in implementing Azure cloud backup and disaster recovery strategies.
  • Understanding of cloud computing concepts, benefits, and challenges.
  • Experience: 5+ years’ experience in data extraction from multiple sources and building datalakehouse solution in Microsoft platform using Azure Data Factory, Azure Databricks and DBT as data transformation tool.
  • Experience: 5+ years’ experience in building data pipelines using Azure Data factory or equivalent technology.
  • Experience: 5+ years’ experience in working with repositories like Azure DevOps, Git Hub or Bitbucket and developing CI/CD data pipelines.
  • Experience: 5+ years’ experience in deploying, maintaining, provisioning the infrastructure of Microsoft Azure Services like Azure DevOps,Azure databricks and Azure Data factory.
  • Experience: 2+ years’ experience in working with data governance tools like Microsoft Purview and Azure databricks unity catalog.
  • Experience: 5+ years’ experience in working with any of the data visualization tools like Power BI , tableau and SAP Analytics Cloud.
  • Experience: 5+ years’ experience developing Enterprise Datawarehouse/BI Solution on Cloud platform like Azure, AWS or GCP. (Experience in Azure cloud platform is preferred).
  • Experience: 2+ years’ experience in managing cloud infrastructure; like resource management, security , compliance and resource cost optimization. (Experience in Azure cloud platform is preferred).
  • Experience: 5+ years’ experience in data modeling (Star schema and 3rd Normal form) and hands-on experience in ERWin and other modeling tools
  • Knowledge of Real time data streaming architecture like Kafka etc.
  • Knowledge of data integration concepts with any of the following domains: Finance, Sales and Orders, Marketing, Supply Chain, Manufacturing, Logistics, Inventory, HR, and/or IT.
  • Understanding of big data, analytics products, data visualizations, process automations, and statistics
  • Strong preference for 1+ years’ experience working on an agile team.
Preferred Skills
  • Azure Data Factory
  • Azure Databricks
  • Azure Databricks Unity Catalog
  • Azure Data Lake Storage
  • Power BI/ Microsoft Fabric
  • Microsoft Purview
  • DBT
  • Strong experience in working with data transformation tool DBT (Data Build Tool) on top of Azure Databricks.
  • Experience in developing spark applications using Spark-SQL in databricks for data extraction, transformation, and aggregation from multiple file format for analyzing and transforming the data to uncover insights into the customer usage pattern.
  • Extensive experience with Microsoft ecosystem such as: Power BI service, Azure Data Lake Storage, Azure Databricks, Azure SQL IAAS/PAAS/SAAS etc.
  • Load delta records from source to target utilizing CDC on type 1, type 2 and type 3 slowly changing dimension.
  • Work experience with SAP ERP systems will be a plus.
  • Experience: 5+ years’ experience in working with repositories like Azure DevOps, Git Hub or Bitbucket and developing CI/CD data pipelines.
  • Experience: 5+ years’ experience in deploying, maintaining, provisioning the infrastructure of Microsoft Azure Services like Azure DevOps,Azure databricks and Azure Data factory.
  • Experience: 2+ years’ experience in working with data governance tools like Microsoft Purview and Azure databricks unity catalog.
  • Experience: 5+ years’ experience in working with any of the data visualization tools like Power BI , tableau and SAP Analytics Cloud.
  • Experience: 5+ years’ experience developing Enterprise Datawarehouse/BI Solution on Cloud platform like Azure, AWS or GCP. (Experience in Azure cloud platform is preferred).
  • Experience: 2+ years’ experience in managing cloud infrastructure; like resource management, security , compliance and resource cost optimization. (Experience in Azure cloud platform is preferred).
  • Experience: 5+ years’ experience in data modeling (Star schema and 3rd Normal form) and hands-on experience in ERWin and other modeling tools
  • Knowledge of Real time data streaming architecture like Kafka etc.
  • Knowledge of data integration concepts with any of the following domains: Finance, Sales and Orders, Marketing, Supply Chain, Manufacturing, Logistics, Inventory, HR, and/or IT.
  • Understanding of big data, analytics products, data visualizations, process automations, and statistics
  • Strong preference for 1+ years’ experience working on an agile team.
Education
  • (Not required) – Education: A bachelor’s degree from an accredited educational institution in a technical discipline (computer science, engineering, information systems)
  • (Not required) – Experience: 5+ years’ experience in data extraction from multiple sources and building datalakehouse solution in Microsoft platform using Azure Data Factory, Azure Databricks and DBT as data transformation tool.
  • (Not required) – Work experience with SAP ERP systems will be a plus.