Mohawk Industries
Sr. Cloud Data Engineer (Kennesaw, Georgia, United States, 30144)
Mohawk Industries, Kennesaw, Georgia, us, 30156
Overview
Sr Cloud Data Engineer
(Kennesaw, Georgia, United States, 30144) at Mohawk Industries Mohawk Industries is a leading global flooring manufacturer with brands across residential and commercial spaces. We are a Fortune 500 company committed to more customer solutions, more process improvements, more sustainable manufacturing, and more opportunities for our people. As a high performing contributor, the Sr Cloud Data Engineer is responsible for designing, deploying, and maintaining Data & Analytics cloud and on‑premises infrastructure applications and services. The role supports data and analytics applications across platforms (on‑premises and cloud), ensures system reliability and security, and drives automation and optimization efforts to support business needs. What You’ll Do
Implements cloud Data & Analytics solutions using various data integration and reporting tools (e.g., Azure Data Factory, Azure Databricks, Azure Data Lake Storage, DBT, Spark Engine, Power BI) integrated with GitHub and Azure DevOps workflows. Provides architectural oversight, ensuring alignment with organizational goals and industry standards. Reviews and approves architectural designs and implementations for application solutions focusing on operational efficiency, security and compliance. Implements governance frameworks and best practices for architecture and design processes. Collaborates with cross‑functional teams to assess architectural designs and provide recommendations for improvements. Develops and maintains documentation related to architectural standards, guidelines and governance processes. Performs problem assessment, resolution, and documentation of existing ETL packages, mappings, and workflows. Implements cloud data analytics solutions utilizing both on‑prem and cloud data sources. Supports cloud data and analytics architecture reviews and provides guidance on best practices for cloud adoption and optimization. Works closely with international teams across time zones, ensuring effective communication and collaboration. Monitors, troubleshoots, and optimizes cloud Data and Analytics applications for performance, cost, and security. Stays current with emerging cloud data and analytics technologies and recommends improvements to existing systems. Collaborates with Analytics cloud architects and engineers to drive continuous improvement in cloud analytics architecture, automation, and management. Performs high quality analysis reliably and consistently; explores innovative ideas to enhance business results. Leads after‑action reviews to identify, document, and share lessons learned. Collaborates cross‑functionally to evaluate technical, system, and process improvements. Performs other duties as needed. What You Have
Bachelor’s degree in a related field or equivalent education and/or experience. 4–6 years relevant experience or equivalent education and/or experience. Proven experience developing Enterprise Data Warehouse/BI solutions on cloud platforms (Azure, AWS or GCP); Azure experience preferred. Proven experience in data extraction from multiple sources and building data lakehouse solutions in cloud platforms using integration tools and cloud data platforms (Azure Databricks and DBT preferred). Experience with SAP ERP systems is a plus. Proven experience with repositories like Azure DevOps, GitHub or Bitbucket and developing CI/CD data pipelines. Proven experience building data pipelines using Azure Data Factory or equivalent technology. Proven experience in real‑time data streaming and CDC architectures. Proven experience implementing data governance tools (e.g., Databricks Unity Catalog, Azure Purview). Proven experience with analytics visualization tools (Tableau, Power BI, Looker; Power BI preferred). Working knowledge of DevOps principles and agile methodologies is preferred. What You’re Good At
Deep conceptual and practical knowledge in the job discipline. Excellent communication, problem solving, and organizational skills. Able to multitask, prioritize, and manage time effectively. High integrity and discretion in handling sensitive data. Proficient with the Microsoft Office suite. Flexible, adaptable to change, team player, and able to handle multiple projects. Professional judgment and resourcefulness in the absence of formal guidelines. Excellent communication and ability to work effectively with international teams. Strong problem‑solving skills and a proactive mindset. Mohawk Industries, Inc. is an Equal Opportunity Employer including disability/veteran committed to an inclusive workplace.
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Sr Cloud Data Engineer
(Kennesaw, Georgia, United States, 30144) at Mohawk Industries Mohawk Industries is a leading global flooring manufacturer with brands across residential and commercial spaces. We are a Fortune 500 company committed to more customer solutions, more process improvements, more sustainable manufacturing, and more opportunities for our people. As a high performing contributor, the Sr Cloud Data Engineer is responsible for designing, deploying, and maintaining Data & Analytics cloud and on‑premises infrastructure applications and services. The role supports data and analytics applications across platforms (on‑premises and cloud), ensures system reliability and security, and drives automation and optimization efforts to support business needs. What You’ll Do
Implements cloud Data & Analytics solutions using various data integration and reporting tools (e.g., Azure Data Factory, Azure Databricks, Azure Data Lake Storage, DBT, Spark Engine, Power BI) integrated with GitHub and Azure DevOps workflows. Provides architectural oversight, ensuring alignment with organizational goals and industry standards. Reviews and approves architectural designs and implementations for application solutions focusing on operational efficiency, security and compliance. Implements governance frameworks and best practices for architecture and design processes. Collaborates with cross‑functional teams to assess architectural designs and provide recommendations for improvements. Develops and maintains documentation related to architectural standards, guidelines and governance processes. Performs problem assessment, resolution, and documentation of existing ETL packages, mappings, and workflows. Implements cloud data analytics solutions utilizing both on‑prem and cloud data sources. Supports cloud data and analytics architecture reviews and provides guidance on best practices for cloud adoption and optimization. Works closely with international teams across time zones, ensuring effective communication and collaboration. Monitors, troubleshoots, and optimizes cloud Data and Analytics applications for performance, cost, and security. Stays current with emerging cloud data and analytics technologies and recommends improvements to existing systems. Collaborates with Analytics cloud architects and engineers to drive continuous improvement in cloud analytics architecture, automation, and management. Performs high quality analysis reliably and consistently; explores innovative ideas to enhance business results. Leads after‑action reviews to identify, document, and share lessons learned. Collaborates cross‑functionally to evaluate technical, system, and process improvements. Performs other duties as needed. What You Have
Bachelor’s degree in a related field or equivalent education and/or experience. 4–6 years relevant experience or equivalent education and/or experience. Proven experience developing Enterprise Data Warehouse/BI solutions on cloud platforms (Azure, AWS or GCP); Azure experience preferred. Proven experience in data extraction from multiple sources and building data lakehouse solutions in cloud platforms using integration tools and cloud data platforms (Azure Databricks and DBT preferred). Experience with SAP ERP systems is a plus. Proven experience with repositories like Azure DevOps, GitHub or Bitbucket and developing CI/CD data pipelines. Proven experience building data pipelines using Azure Data Factory or equivalent technology. Proven experience in real‑time data streaming and CDC architectures. Proven experience implementing data governance tools (e.g., Databricks Unity Catalog, Azure Purview). Proven experience with analytics visualization tools (Tableau, Power BI, Looker; Power BI preferred). Working knowledge of DevOps principles and agile methodologies is preferred. What You’re Good At
Deep conceptual and practical knowledge in the job discipline. Excellent communication, problem solving, and organizational skills. Able to multitask, prioritize, and manage time effectively. High integrity and discretion in handling sensitive data. Proficient with the Microsoft Office suite. Flexible, adaptable to change, team player, and able to handle multiple projects. Professional judgment and resourcefulness in the absence of formal guidelines. Excellent communication and ability to work effectively with international teams. Strong problem‑solving skills and a proactive mindset. Mohawk Industries, Inc. is an Equal Opportunity Employer including disability/veteran committed to an inclusive workplace.
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