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Strong Tier-1 brand and metro location increase competition, but senior niche Principal data role reduces candidate pool.
Requires deep distributed data platform and production reliability expertise, limiting cross-industry transferability.
Explicit 10+ years, Principal/Staff level, and specialized distributed data platform requirements make filtering stringent.
Lead architecture and evolution of a large-scale distributed data platform supporting real-time, streaming, and batch workloads.
Drive design and delivery of core platform capabilities including data lifecycle management, metadata systems, orchestration, and developer APIs.
Implement automation and AI-assisted workflows to improve system operability, resilience, and developer productivity across multiple internal domains.
10–15+ years of experience building large-scale distributed systems, infrastructure, or data platforms.
Experience at Staff+ or Principal engineer level leading complex, cross-team technical initiatives.
Strong expertise in distributed systems fundamentals: scalability, fault tolerance, data consistency, and performance.
Proficiency in systems programming languages such as Java, Python, or Go with production experience managing reliability and operational excellence.
Experienced in high-scale streaming systems, event-driven architectures, and real-time data processing environments.
Skilled in designing platform services that support both real-time and offline data workloads at scale.
Able to influence cross-functional engineering teams and mentor senior engineers to raise architectural standards.