4157 Director Cloud Engineering jobs in Chicago,IL

Director of Engineering (Remote)

jobright.com

Chicago, IL

KPMG

Chicago, IL 60629

Minimum five years of recent experience in IT infrastructure technology management and architecture including IaaS/PaaS/DevOps cloud transformation programs and infrastructure automation, prior system/storage; admin/engineering experience and consulting experience; four years of cloud strategy, migration, and transformation leadership including cloud services (IaaS/PaaS) implementation & migration, including Azure or AWS
Bachelor's degree in Computer Sciences from an accredited college/university
Master of Business Administration (MBA) is preferred
Past or current certifications (e.g. Microsoft, AWS, Cisco, Azure, VMware) is preferred
Terraform highly preferred
Ability to travel as needed
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Dormont Manufacturing Company

Chicago, IL 60290

Welsh and Associates

Chicago, IL

SOLV Energy, LLC

Chicago, IL

McNeil &

Chicago, IL 60290

Rise

Chicago, IL 60695

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required.
Master's degree preferred.
Minimum of 10+ years of experience in data engineering, distributed systems, or enterprise data architecture.
Minimum of 5+ years designing large-scale cloud-based data platforms.
Demonstrated experience leading architectural strategy across multiple teams or business units.
Location: 4 days in office, Chicago or Sussex
This position is not eligible for visa sponsorship, including F-1 visa holders requiring CPT, OPT, or future H-1B sponsorship. Candidates must be authorized to work in the United States without current or future immigration sponsorship.
Experience in media, marketing analytics, or high-volume consumer data environments is a plus.
Knowledge of cloud-native data architectures, lakehouse and warehouse platforms, distributed computing (e.g., Spark), data orchestration frameworks, API-driven data integration, CI/CD for data platforms, and data lifecycle management and system interoperability.