
Senior Cloud Engineer
Mohawk Industries
full-time
Posted on:
Location Type: Office
Location: Georgia • United States
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Job Level
About the role
- Implements cloud Data & Analytics solutions using various data integration and reporting tools (e.g., Azure Data Factory, Azure Databricks, Azure data lake storage, DBT(data build tools), Spark Engine and Power BI)
- Provides architect oversite, 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
- Perform problem assessment, resolution, and documentation of existing ETL packages, mapping, and workflows
- Implements Cloud data analytics solution utilizing 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 recommend 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
- Finds ways to assess and apply innovative ideas to enhance business results
- Successfully leads after-action reviews to identify, document, and share lessons learned
- Collaborates cross-functionally to evaluate technical, system, and process improvements
Requirements
- 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 Datawarehouse/BI Solution on Cloud platform like Azure, AWS or GCP
- Proven experience in data extraction from multiple sources and building data Lakehouse solution in cloud platform using integration tools and cloud data platform
- Work experience with SAP ERP systems will be a plus
- Proven experience in working with repositories like Azure DevOps, Git Hub or Bitbucket and developing CI/CD data pipelines
- Proven experience in building data pipelines using Azure Data factory or equivalent technology
- Proven experience in building real time data streaming and CDC architecture
- Proven experience in implementing data governance tools like Databricks unity catalog and Azure Purview
- Proven experience working with analytics visualization tools e.g. tableau, Power BI and Looker etc.
- Working knowledge of DevOps principles and agile methodologies preferred.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud data analyticsdata integrationETLdata warehousingdata lakehousereal-time data streamingdata governanceCI/CDdata pipelinesdata extraction
Soft Skills
collaborationcommunicationproblem assessmentleadershipcontinuous improvementorganizational skillsanalytical skillsinnovationdocumentationoversight