Architecture Lead Analyst

• Provide clear architectural vision and strategic direction for complex IT systems and applications
• develop comprehensive architecture, strategy, and solutions at an enterprise level
• drive the technical direction and strategic decisions for the technology function
• act as a visionary, proactively assisting in defining the direction for future projects
• develop and enforce application methodologies and standards for program analysis, design, testing, and deployment
• lead by example in adopting and promoting modern architectural patterns
• promote a culture of collaboration, knowledge sharing, and continuous learning
• consult with end-users and business stakeholders to identify system function specifications
• influence and negotiate with senior leaders and external parties
• drive adherence to Citi's engineering excellence and developer manifesto principles
• ensure compliance with laws, rules, and regulations

• Relevant experience in software development, architecture, and engineering roles
• extensive hands-on experience in designing, developing, and deploying complex, large-scale software applications
• proven experience in systems analysis, programming, and implementation of software applications across diverse technology stacks
• deep expertise in at least one major programming language (e.g., Java, Python, C#, Go) and related frameworks
• profound understanding of modern architectural patterns (e.g., microservices, event-driven architectures, cloud-native design)
• strong knowledge of software development lifecycle (SDLC), including agile methodologies, DevOps practices, CI/CD pipelines, and automated testing strategies
• familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
• experience with real-time data processing tools (e.g., Kafka), certification in Snowflake, Oracle databases or Big Data technologies, and knowledge of NoSQL (e.g., Mongo) is a plus
• exceptional leadership, project management, and development skills
• superior analytical and problem-solving abilities
• excellent written and verbal communication skills
• strong relationship and consensus-building skills
• bachelor's degree in Computer Science, Engineering, or a related field
• master's degree preferred

• Experience with real-time data processing tools (e.g., Kafka)
• certification in Snowflake, Oracle databases, or Big Data technologies
• knowledge of NoSQL (e.g., Mongo)

Global benefits designed to support employee well-being, growth, and work-life balance