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Tier-1 employer plus metro location but highly specialized senior role, so moderate competition.
Highly domain-specific data platform, governance, and BI experience required, limiting cross-industry transferability.
Explicit 12-15 years, 5+ years senior leadership, and mandatory niche technical stack enforce strict filters.
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Lead the engineering strategy, technical governance, and architectural alignment for the enterprise-wide Data and Reporting platform, ensuring integration from data sources through BI and AI layers globally.
Drive platform rationalization to eliminate redundancy and technical debt, and champion adoption of generative AI tools to accelerate software delivery and infrastructure automation across the data/reporting stack.
Provide technical leadership and mentorship to global teams, overseeing production monitoring standards, query federation industrialization, API design, and high-throughput reporting platform optimization.
12-15+ years of software/platform engineering or data architecture experience in large-scale, regulated environments (preferably financial services).
5+ years in senior engineering leadership, principal architect, or platform tech lead roles with experience in platform modernization and technical governance across data and reporting systems.
Hands-on advanced Java and enterprise frameworks (Spring Boot, Hibernate), expertise in data federation, query optimization, BI/reporting platforms (e.g., Tableau), and generative AI tools for development acceleration.
Bachelor's or Master's degree in Computer Science, Information Systems, or related engineering field.
Experienced platform architect or senior software engineer with deep technical expertise bridging backend data processing, virtualization, APIs, and BI/reporting layers at global scale.
Demonstrated ability to drive cross-functional architectural alignment with Enterprise Architecture and AI teams while enforcing platform standards and security.
Proven track record leading adoption of AI-assisted development tools, implementing scalable, resilient distributed architectures, and mentoring engineering teams in modern platform engineering practices.