Senior AI Cloud Architect for Enterprise Data and ML

Cloud Analytics Technologies, LLC; Minneapolis (MN); On-site; USD 130,000 - 190,000; Full time

Job summary

CLOUD ANALYTICS TECHNOLOGIES LLC is hiring a senior enterprise architect in Minneapolis, MN. You will shape enterprise architecture across data, infrastructure, applications and security, guiding technology choices and roadmaps for large-scale cloud-native solutions.

You will architect data pipelines from source systems to centralized lake warehouses, leverage serverless and PaaS, and work with multiple public clouds. Strong consulting experience across teams is valued.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field or equivalent work exp.
• 5-7+ years of relevant work experience required.
• Deep experience in serverless computing and PaaS products, container orchestration tech.
• Experience with AWS, Azure and Google Cloud Platform.
• Broad experience across architecture practices with depth in at least one area.
• Experience in architecting data pipelines from SOR to lake warehouses.
• Knowledge of ML and Generative AI use cases.
• Knowledge of enterprise-wide architecture and big-picture tech impact.
• Internal/External consulting spanning org boundaries and influencing leaders.
• Depth of experience in architecture, design, implementation and support of complex enterprise solutions.
• Exposure to multiple, diverse tech configurations and process improvements.

Skills

Serverless computing

Kubernetes

Cloud architecture

Public cloud (AWS/Azure/GCP)

Data pipelines

Enterprise architecture

Generative AI use cases

Education

Bachelor's degree in Computer Science, Engineering or related technical field

Tools

Apache Tomcat

Apache HTTP Server

Microsoft IIS

Job description

CLOUD ANALYTICS TECHNOLOGIES LLC is hiring a senior enterprise architect in Minneapolis, MN. You will shape enterprise architecture across data, infrastructure, applications and security, guiding technology choices and roadmaps for large-scale cloud-native solutions.

You will architect data pipelines from source systems to centralized lake warehouses, leverage serverless and PaaS, and work with multiple public clouds. Strong consulting experience across teams is valued.