AI and Data Platform Engineer

Arizona Cardinals Football Club•Tempe, AZ

16h•Onsite

About The Position

The Arizona Cardinals are seeking a technically skilled AI and Data Platform Engineer to support the organization’s artificial intelligence, data management, and enterprise technology strategy. This role connects modern data platforms, cloud-based AI services, business applications, and enterprise systems. The engineer designs, administers, and optimizes cloud data and database platforms; supports AI initiatives; enables secure access to enterprise data; and integrates AI capabilities into business applications, workflows, and data solutions. The role supports business operations, football operations, stadium operations, and corporate functions, with responsibility for data integrity, security, governance, and compliance with organizational and league requirements. It contributes to secure and responsible AI adoption by administering enterprise AI platforms, implementing and supporting AI use cases, and collaborating with cybersecurity and business teams. The position also supports database systems, data integrations, APIs, pipelines, analytics platforms, and data governance. This is a full-time, exempt, in-person position with the Arizona Cardinals in Tempe, Arizona. Starting in 2028, it will be based at the new Arizona Cardinals Training Facility in north Phoenix. The role includes event support, game-day duties, training camp, and extended trips, and requires work at all home games and team functions at State Farm Stadium in Glendale. Evening, weekend, and holiday work may be required depending on business needs. Applicants must be authorized to work for any employer in the United States; visa sponsorship is not available. Candidates must complete pre-employment forms and pass a background check.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, Information Technology, Software Engineering, or a related technical field.
At least 2–5 years of experience in database administration, systems administration, cloud platforms, or related technology roles.
Knowledge of artificial intelligence, generative AI, machine learning, and enterprise AI platforms.
Experience supporting AI tools such as Microsoft Copilot, Azure AI Services, OpenAI, Anthropic, or comparable solutions.
Understanding of prompt engineering, AI adoption practices, and AI governance principles.
Familiarity with automation platforms such as Microsoft Power Platform, Power Automate, Logic Apps, or similar technologies.
Ability to support data lake and lakehouse architectures using technologies such as Azure Data Lake Storage, Amazon S3, Databricks, Microsoft Fabric, Delta Lake, and Apache Spark.
Experience with database performance tuning, optimization, monitoring, backup, recovery, and disaster recovery.
Ability to partner with analytics and AI teams to create trusted, reusable data products and curated datasets for Power BI, AI applications, and advanced analytics.
Experience supporting large-scale enterprise data environments.
Ability to prepare and optimize enterprise datasets for generative AI, machine learning, semantic search, and Retrieval-Augmented Generation use cases.
Understanding of lakehouse and medallion architectures, dimensional modeling, data warehousing, and data mesh or data product concepts.
Knowledge of data modeling, database architecture, and data integration methodologies.
Experience developing and supporting APIs, integrations, ETL processes, and enterprise workflows.
Ability to develop and maintain ETL/ELT pipelines using Azure Data Factory, Fabric, Databricks, AWS Glue, Lambda, Step Functions, or comparable services.
Understanding of cloud-based integration services and modern data architectures.
Experience integrating AI services with enterprise applications and business systems.
Knowledge of Microsoft Azure cloud services and enterprise cloud architectures.
Familiarity with Microsoft 365, Power Platform, Active Directory, Entra ID, and enterprise collaboration tools.
Understanding of data warehousing, analytics, and business intelligence solutions.
Understanding of cybersecurity best practices for databases, AI platforms, and enterprise applications.
Knowledge of data governance, privacy, retention, and compliance principles.
Experience implementing security and access controls across enterprise systems.
Strong analytical and problem-solving abilities.
Excellent organizational and project management skills.
Ability to communicate complex technical concepts to technical and non-technical audiences.
Strong customer service orientation and stakeholder management skills.
Ability to manage multiple priorities in a fast-paced, highly visible environment.
Commitment to continuous learning and staying current with emerging AI and data technologies.
Flexibility to work evenings, weekends, and holidays; hours vary depending on business needs.
Must complete all pre-employment forms and successfully pass a background check.
Must be authorized to work for any employer in the United States; the employer cannot sponsor or take over sponsorship of student or employment visas.

Nice To Haves

Experience supporting generative AI deployments in an enterprise environment.
Familiarity with data cataloging, data classification, and data governance platforms.
Experience within professional sports, entertainment, media, or large event-based organizations.
Experience supporting mission-critical operations requiring high availability and rapid issue resolution.

Responsibilities

Administer and support enterprise AI platforms, including Microsoft Copilot, Azure AI services, approved large language model platforms, and future AI technologies.
Partner with business units to evaluate, prioritize, and implement AI use cases that improve operational efficiency and business value.
Support AI training, prompt development, adoption programs, and end-user enablement.
Assist with AI model integrations, automation workflows, and AI-powered business processes.
Monitor AI platform usage, performance, security, and adoption metrics.
Serve on the Cardinals AI Council, managing AI use case requests and communication with the NFL.
Support AI governance, documentation, and compliance requirements, and collaborate with cybersecurity teams to ensure secure implementation.
Design, administer, monitor, optimize, and maintain enterprise databases and data repositories.
Ensure database performance, availability, reliability, backup, recovery, and disaster recovery capabilities.
Manage SQL Server and other database technologies used by business-critical applications.
Support database migrations and modernization, including migration from on-premises databases to PaaS and cloud-native database services.
Develop and maintain database standards, procedures, documentation, and operational runbooks.
Troubleshoot database and data platform issues while minimizing disruption to business operations.
Design and support integrations among enterprise applications, cloud services, databases, and AI solutions.
Develop and maintain APIs, data pipelines, ETL processes, and automation workflows.
Enable secure access to structured and unstructured data for analytics, reporting, and AI use cases.
Collaborate with application owners and business stakeholders to improve data quality and accessibility.
Support data warehouse, reporting, business intelligence, and analytics platforms.
Maintain data integrity, quality, classification, retention, and lifecycle management practices.
Support data governance and compliance with internal standards, league requirements, and regulatory obligations.
Implement security controls for databases, AI platforms, and integrated systems; maintain appropriate access controls and role-based permissions.
Assist with audits, reporting, and risk assessments related to data and AI environments.
Collaborate with IT, Cybersecurity, Cloud Engineering, Football Operations, Business Intelligence, and business units to identify opportunities for innovation.
Participate in technology evaluations, proof-of-concepts, and pilot programs involving AI and emerging technologies.
Provide technical guidance and recommendations on enterprise data architecture, AI adoption, and systems modernization.
Support stadium operations, special events, training camp, and game-day technology initiatives as required.
Perform other duties as assigned.
Work at all home games and team functions at State Farm Stadium, and support events, training camp, and extended trips as required.