Senior Consultant, Data and Cloud Security

At Cargill, we are dedicated to delivering food and agricultural solutions that nourish the world safely, responsibly, and sustainably. As a central figure in the supply chain, we partner with farmers and customers to source, produce, and deliver essential products for life. Our diverse team of 155,000 members is committed to innovation, ensuring that businesses thrive, communities flourish, and consumers enjoy healthy lives. With over 160 years of heritage as a family-owned company, we remain focused on our core values as we look to the future. We prioritize people, strive for excellence, and uphold our integrity—today and for generations to come.

- A minimum of 4 years of relevant industry experience. Typically requires 5 years or more of pertinent experience.
- Bachelors degree in Computer Science, Information Security, Engineering, or equivalent practical experience.
- At least eight years of related experience in cybersecurity, with a strong emphasis on data security and cloud architecture.
- Demonstrated experience in designing secure data architectures in AWS and/or Azure environments.
- Familiarity with Data Loss Prevention (DLP), data classification, and data governance technologies.
- Solid understanding of Identity and Access Management (IAM), Privileged Access Management (PAM), and Zero Trust architecture principles.
- Expertise in securing cloud-native data services, storage solutions, and integration methods (APIs, ETL/ELT pipelines).
- Knowledge of encryption (at rest, in transit, in use), key management solutions, and secrets management.
- Insight into enterprise applications (ERP, supply chain systems) and considerations for data protection.
- Capability to lead architectural discussions and influence both technical and business stakeholders.
- Strong analytical, problem-solving, and communication capabilities.

- Preferred certifications such as CISSP, CCSP, SABSA, AWS/Azure Security Specialty, or TOGAF.
- Experience securing data in manufacturing or operational technology environments.
- Familiarity with large-scale cloud migration or modernization initiatives.
- Experience with DSPM, CASB, or cloud-native data protection tools across multi-cloud environments is an advantage.

- Develop and uphold enterprise data security architecture standards, models, and roadmaps to safeguard sensitive enterprise, operational, and manufacturing data.
- Create and execute data protection controls across AWS and Azure, including data classification, encryption, key management, DLP/DSPM, data activity monitoring, and governance of structured and unstructured data access.
- Establish secure data architecture designs for data lakes, analytics platforms, ERP systems, SaaS applications, and AI/ML workloads.
- Architect secure data transmission between enterprise IT and operational technology/manufacturing systems (ERP, MES, SCADA, etc.).
- Collaborate with Enterprise Architecture, Cloud Engineering, Data Engineering, DevOps, Application Security, Compliance, and OT Security teams to integrate data security into platform architecture and lifecycle processes.
- Provide technical oversight and mentorship to security engineers and analysts.
- Assess new data security tools, technologies, and controls, contributing to vendor strategy and standards.