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Tier-1 bank brand but senior, niche data-architecture and GenAI focus reduces applicant density.
Core data architecture, cloud and AI skills are broadly transferable, though regulated-finance experience is advantageous.
Requires 10+ years, deep data architecture, cloud, AI/ML and leadership — strict technical and domain filters.
Drive end-to-end architecture and technology strategy for complex, distributed, high-throughput data and software systems across the portfolio.
Lead design reviews, architecture governance, and set enterprise-wide patterns and standards involving senior leadership and multiple functions.
Architect cloud-native AWS solutions including AI/ML and GenAI integration with operational rigor for performance, security, and cost management.
Bachelor's degree in Computer Science, IT, or Software Engineering (or equivalent).
10+ years of applied experience spanning data architecture and software development.
Deep expertise in data architecture covering relational (Oracle, PostgreSQL) and NoSQL (Cassandra, MongoDB) databases and large-scale data platforms.
Proven experience with AWS production workloads, Java or equivalent languages, microservices, streaming architectures, AI/ML and GenAI integration, and use of AI-assisted development tools.
Experienced leader in data and software architecture driving strategic technology decisions in complex, regulated environments.
Strong architectural mindset balancing speed, risk, maintainability, and total cost, with demonstrated DevOps and platform engineering expertise.
Hands-on with emerging AI-assisted engineering practices and responsible AI adoption, with ability to lead senior technical talent and align across cross-functional teams.