Senior Architect -Cybersecurity Data Analytics & AI

Our client is a global leader in the aviation sector, driving a digital-first transformation powered by cloud technologies, data innovation, and machine learning. With a bold vision to redefine how data empowers smarter decisions, they are building a modern engineering ecosystem that fuels business agility and growth at scale.

At the heart of this journey is a vibrant, inclusive, and forward-thinking technology team that thrives on curiosity, collaboration, and continuous learning. From cloud-native architectures to real-time data pipelines, team members are shaping solutions that impact millions of livesall while working in an environment that values diversity, wellbeing, and career development.

The Job

We are looking for Senior Architect – Cybersecurity Data Analytic & AI leads efforts to mature Cyber security Analytical and AI. This is a critical part of a cross-disciplinary Cyber team responsible for full stack security Analytics and AI. In this role the Architect will work on the creation and maintenance of Cybersecurity Analytics an AI Platform and partner with product, platform, engineering, and operations teams to ensure the adoption.

• Subject matter expert technology domains such as business intelligence dashboards, AI and Agentic workflows
• Responsible for technology in area such as, AWS Data Lake, AWS Quick sight, AWS Bedrock, Python, Lang Graph Agentic workflows
• Develop and promote security and resiliency architecture strategies, frameworks and patterns while partnering closely with other cybersecurity teams and collaborating with partner organization
• Develop and promote architecture strategies, frameworks and patterns while partnering closely with other cybersecurity teams
• Assists in defining and implementing CI/CD pipeline tools, test plans and vulnerabilities assessment tools for Cybersecurity Analytics and AI Platform
• Serve as a champion for secure infrastructure-as-code for end-to-end configuration and overall success of the IaaS, PaaS, and SaaS environments
• Leads continuous improvement efforts, including preparing and analyzing data to identify opportunities for improvement

Your Profile

• Working knowledge of cloud service providers (e.g., AWS as primary, Azure, GCP are plus)
• Working knowledge of security protocols, cryptography, and secure network architectures
• Proficiency with scripting and automation tools
• Working knowledge of identity and access management (IAM)
• Basic understanding of network security and data encryptionExpert knowledge of AWS Data lake,AWS Glue, AWS QuickSight, Python