AI & Data Platform Engineer — Cloud AI, DataOps, Onsite

Arizona Cardinals

Tempe (AZ)

On-site

USD 110,000 - 180,000

Full time

12 days ago

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Benefits offered by this job

Health Insurance
401(k) match
Paid time off
Season tickets

Job summary

The Arizona Cardinals are seeking an AI and Data Platform Engineer to architect, administer, and optimize cloud data and AI-enabled platforms across the organization. The role focuses on secure data access, governance, and scalable data solutions to enable AI-driven decision making for football operations, business functions, and stadium technology.

The successful candidate will work with enterprise data teams, cybersecurity, and cloud engineering to implement modern data architectures, support

Qualifications

  • Experience with cloud data platforms and enterprise AI solutions.
  • Familiarity with data governance, data privacy, and security controls.
  • Ability to design, administer, and optimize databases and data pipelines.

Responsibilities

  • Design, administer, and optimize cloud data and database platforms.
  • Support AI initiatives, data governance, and secure access to enterprise data.
  • Develop APIs, ETL/ELT pipelines, and data workflows for analytics and AI use cases.
  • Collaborate with cybersecurity and IT teams to ensure secure AI deployments.
  • Provide hands-on support for stadium and event-related data technology needs.

Skills

Cloud platforms
AI/ML knowledge
Security
Data modeling

Education

Bachelor's degree in Computer Science or related field

Tools

Azure
Databricks
SQL Server

Job description

The Arizona Cardinals are seeking an AI and Data Platform Engineer to architect, administer, and optimize cloud data and AI-enabled platforms across the organization. The role focuses on secure data access, governance, and scalable data solutions to enable AI-driven decision making for football operations, business functions, and stadium technology.

The successful candidate will work with enterprise data teams, cybersecurity, and cloud engineering to implement modern data architectures, support

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