Senior Cloud Data Engineer — Azure Analytics Architect

Mohawk Industries, Inc.; Kennesaw (GA); On-site; USD 140,000 - 180,000; Full time

Job summary

Mohawk Industries, Inc. is seeking a Sr Cloud Data Engineer to design, deploy, and maintain data & analytics infrastructure across cloud and on‑premises environments.

You will drive automation, governance, and optimization to support business needs, collaborating with international teams on architecture and data solutions. The role requires 4–6 years of experience in enterprise data engineering, expertise in Azure Data Factory/Databricks, and strong communications.

Qualifications

• Bachelor’s degree or equivalent education/experience.
• 4–6 years of relevant cloud data engineering experience.
• Proven experience with enterprise data warehouse/BI on cloud platforms (Azure preferred).
• Experience building data pipelines and data lakehouse solutions in cloud environments.

Responsibilities

• Design, deploy, and maintain cloud/on‑prem data & analytics infrastructure.
• Implement data integration and reporting using Azure/Data/ETL tools.
• Provide architecture oversight aligned with goals and standards.
• Develop governance and documentation for architecture and design processes.
• Collaborate with cross‑functional teams across time zones for improvements.
• Monitor, troubleshoot, and optimize cloud data analytics apps for performance and cost.

Skills

Communication skills

Problem solving

Time management

Team collaboration

Integrity

Proactive mindset

Documentation

Education

Bachelor’s degree or equivalent experience

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

DBT

Spark

Power BI

Tableau/Looker

GitHub/Azure DevOps/Bitbucket

Job description

Mohawk Industries, Inc. is seeking a Sr Cloud Data Engineer to design, deploy, and maintain data & analytics infrastructure across cloud and on‑premises environments.

You will drive automation, governance, and optimization to support business needs, collaborating with international teams on architecture and data solutions. The role requires 4–6 years of experience in enterprise data engineering, expertise in Azure Data Factory/Databricks, and strong communications.