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Lead design and delivery of enterprise-scale data architectures and models supporting treasury, analytics, and AI pipelines. Define governance, security, and integration strategies across banking systems and cloud/on-prem platforms. Collaborate with engineers, data scientists, and stakeholders to optimize performance, ensure regulatory compliance, and document data assets while evaluating emerging data technologies.

The Senior Cloud Solutions Architect will design secure, scalable cloud-native banking platforms on Azure and AWS, ensuring compliance with banking regulations while guiding engineering teams in implementation.

The Senior AWS Platform Engineer will architect and deploy AWS environments, manage AI/ML services, standardize deployments, and oversee cloud costs while ensuring seamless integration within the enterprise architecture.

The Senior Azure Platform Engineer will architect and deploy secure and automated Azure infrastructures, manage Azure AI services, and ensure cost-effective operations while leading FinTech integration projects.

The Specialist - Vulnerability Management will assess, prioritize, and track vulnerabilities in a banking environment, ensuring compliance with security policies and regulations.

The Senior Specialist for SOC Threat Intelligence analyzes cyber threats, implements detection capabilities, monitors adversary tactics, and supports incident response within a bank's SOC.

Responsible for designing, developing, and maintaining enterprise-grade Power BI dashboards and reports, translating cybersecurity data into actionable insights for executives within a banking environment.

Lead the design and implementation of security controls in banking environments, ensuring compliance and technical integrity across systems while mentoring other engineers.

The role involves managing cloud security vulnerabilities for a banking client, overseeing vulnerability management, collaborating with engineering teams, and producing risk reports.

Design and implement scalable conceptual, logical, and physical data models and semantic layers for Lakehouse/Medallion architectures. Build knowledge graphs and ontologies, integrate with metadata/lineage tools, ensure schema evolution and performance, and collaborate with architects, engineers and stakeholders to enable self-service analytics and data discovery.