Senior Data Security Architect, AI, AWS Cloud

Job not on LinkedIn

🕒 July 9

🌐 Costa Rica, Mexico, +2 more countries – Remote

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⏰ Full Time

🟠 Senior

đŸ‘źâ€â™‚ïž Cybersecurity / Security Engineer

đŸ‘» Ghost score 42%

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Logo of Edwards Lifesciences

Edwards Lifesciences

10,000+ employees

Founded 1958

đŸ„ Healthcare

đŸ’Œ Consulting

đŸœïž Food & Beverage

Healthcare ‱ Consulting ‱ Food & Beverage

Edwards Lifesciences is a global leader in patient-focused medical innovations. The company specializes in heart valve disease solutions, offering products and services such as transcatheter heart valves and mitral and tricuspid technologies, as well as surgical heart valve solutions. Edwards Lifesciences also focuses on critical care technologies including hemodynamic monitoring, remote monitoring, and predictive monitoring. The company conducts clinical research and is committed to improving patient lives through innovative cardiovascular disease solutions, while being a responsible corporate citizen with an emphasis on global corporate giving.

📋 Description

‱ Lead the design, implementation, operation, and maintenance of Information Security technologies. ‱ Develop scalable security architectures enabling secure adoption of emerging GenAI technologies. ‱ Provide design and architecture guidance for enterprise-level security initiatives, system integration, and tools, including AI and Data Security domains such as Databricks and Snowflake. ‱ Serve as technical lead in designing and building multiple cybersecurity controls, solutions, processes, and functions. ‱ Design and maintain secure architecture frameworks and patterns for solutions. ‱ Deliver and collaborate throughout the delivery project lifecycle, from project management and architecture design through installation, configuration, and documentation of security solutions. ‱ Serve as a business liaison and advisor for one or more business units.

🎯 Requirements

‱ Bachelor's Degree in related field. ‱ 8 years of previous related experience. ‱ Experience in securing Snowflake and Databricks environments, including reviewing configurations, defining secure-by-default patterns, and advising data engineering teams. ‱ Experience and/or understanding of at least 3 cyber security domains, such as platform security, application security, network security, infrastructure, cloud security, data security, and identity and access management. ‱ Strong experience designing secure architectures for LLMs, generative AI systems, RAG pipelines, and autonomous AI agents across different vendor offerings. ‱ Knowledge of threat modeling with STRIDE methodology. ‱ Understanding of AI threats and mitigation techniques such as OWASP Top 10 AI frameworks. ‱ Understanding of mitigating supply chain risks and attacks for AI security solutions. ‱ Understanding of secure DevOps against AI-specific attacks. ‱ Experience drafting technical documentation. ‱ Excellent organization and time management skills. ‱ Excellent verbal and written communication and customer-focused skills. ‱ Recognition as an expert in own area within the organization, with broad-based technical expertise and full knowledge of related disciplines. ‱ Ability to transform technical solutions into well-documented build guides and escalate issues appropriately. ‱ Ability to mentor colleagues and provide guidance for their success. ‱ Strict attention to detail. ‱ Ability to interact professionally with all organizational levels and proactively escalate issues appropriately. ‱ Ability to manage competing priorities in a fast-paced environment. ‱ Adherence to company rules and requirements, including pandemic protocols and Environmental Health & Safety rules, and ability to take adequate control measures to prevent injuries and protect the environment.

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