Back
Tier-1 brand and metro location but very senior, specialized platform role reduces applicant density.
Requires deep enterprise data platform, BI, and regulated-environment experience, limiting cross-industry transferability.
Explicit 12+ years, senior leadership, and mandatory Java, data federation, and AI-assisted tooling increases filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead the architecture, technical governance, and strategic roadmap of enterprise-wide Data Services and Reporting platforms with a global footprint.
Define, execute, and rationalize platform engineering strategy ensuring integration of data virtualization, APIs, and reporting into a scalable, resilient ecosystem.
Champion adoption of generative AI tools to accelerate software delivery and drive platform modernization, performance tuning, and technical debt elimination.
12-15+ years total engineering experience in software/platform engineering or data architecture, preferably in regulated environments like financial services.
5+ years in senior engineering leadership, principal architect, or platform tech lead role driving platform modernization and governance.
Advanced hands-on expertise in Java and Spring Boot frameworks; strong knowledge of data federation, BI/reporting platforms, and AI-assisted development tools.
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related engineering field.
Experienced senior platform architect or engineering leader with deep cross-cutting knowledge of enterprise data and reporting systems.
Proven ability to design and govern high-scale, distributed data platforms integrating virtualization, APIs, and BI tools aligned with enterprise architecture.
Strong operator of AI-assisted development workflows and advocate for generative AI adoption to enhance platform engineering productivity and innovation.