Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Cargill has filed one layoff notice in the last twelve months, covering 221 workers, most recently February 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come.

Job Purpose and Impact

The Data Security Architect will drive the enterprise data protection strategy and design scalable, secure architectures that safeguard critical business, operational, and manufacturing data across cloud, SaaS, and hybrid environments. In this role, you will apply deep expertise in data security, cloud architecture, and governance to design scalable, secure solutions that protect sensitive enterprise, operational, and manufacturing data. You will partner with cloud, data, application, and OT teams to embed security design into IaaS, PaaS, SaaS, data platforms and OT ecosystems while mentoring engineers and influencing senior stakeholders.

Key Accountabilities

Develop and maintain enterprise data security architecture standards, patterns, and roadmaps to protect sensitive enterprise, operational, and manufacturing data.

Design and implement data protection controls across AWS and Azure, including data classification, encryption, key management, DLP/DSPM, data activity monitoring, and structured and unstructured data access governance

Define secure data architecture patterns for data lakes, analytics platforms, ERP systems, SaaS applications, and AI/ML workloads

Architect secure data flows between enterprise IT and OT/manufacturing systems (ERP, MES, SCADA,etc.)

Partner with Enterprise Architecture, Cloud Engineering, Data Engineering, DevOps, Application Security, Compliance, and OT Security teams to embed data security into platform architecture and lifecycle processes

Provide technical leadership and mentorship to security engineers and analysts

Evaluate new data security tools, technologies, and controls, and contribute to vendor strategy and standards.

Qualifications

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Bachelor’s degree in Computer science, Information Security, Engineering, or equivalent practical experience.

Minimum of eight years of related work experience in cybersecurity, with strong focus on data security and cloud architecture

Proven experience designing secure data architectures in AWS and/or Azure environments

Experience with Data Loss Prevention (DLP), data classification, and data governance technologies

Good understanding of Identity and Access Management (IAM), Privileged Access Management (PAM), and Zero Trust architecture

Experience in securing cloud-native data services, storage solutions, and integration patterns (APIs, ETL/ELT pipelines)

Knowledge of encryption (at rest, in transit, in use), key management solutions, and secrets management

Understanding of enterprise applications (ERP, supply chain systems) and data protection considerations

Ability to lead architectural discussions and influence technical and business stakeholders

Strong analytical, problem-solving, and communication skills

Preferred qualifications, capabilities and skills:

Certifications such as CISSP, CCSP, SABSA, AWS/Azure Security Specialty, or TOGAF

Experience securing data in manufacturing or OT environments

Experience supporting large-scale cloud migration or modernization programs

Experience with DSPM, CASB, or cloud-native data protection tooling across multi-cloud environments is a plus

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Equal Opportunity Employer, including Disability/Vet.