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Tier-1 employer, metro location, and broad senior data/AI/cloud requirements increase candidate competition.
Strong data architecture and regulated-industry expectations moderately favor candidates with finance or regulated-industry experience.
Explicit 10+ years requirement plus mandatory architecture, database, cloud, and MLOps skills make shortlisting highly selective.
Define and lead architecture for complex, distributed, high-throughput systems, influencing technology strategy and investment prioritization at senior levels.
Lead design reviews, architecture governance, and establish enterprise-wide standards and reference architectures, representing Engineering & Architecture in senior governance forums.
Architect and optimize cloud-native (AWS) and data solutions across relational and NoSQL databases, integrating AI/ML and GenAI into production platforms with operational rigor.
Bachelor’s degree or equivalent in computer science, IT, or software engineering concepts.
10+ years applied experience spanning data architecture and software development, including 5+ years with formal software engineering training or certification.
Deep expertise in data architecture including relational (Oracle, PostgreSQL) and NoSQL (Cassandra, MongoDB), plus experience designing large-scale data platforms and data governance.
Proven experience with AWS production workloads, Java 17+ or equivalent programming languages, microservices, event-driven architecture, and AI/ML integration (LLMs, RAG, vector DBs).
Experienced senior technical leader capable of driving enterprise-wide architecture standards and technology strategy, with stakeholder management at senior leadership level.
Strong background across software engineering and data architecture in complex, regulated environments (preferably financial services).
Skilled in integrating AI-assisted engineering practices and responsible AI usage with deep knowledge of cloud-native platform modernization and operational excellence.