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Tier-1 brand and Bangalore location increase competition, but senior, niche Principal role reduces applicant pool.
Data platform expertise is transferable across industries but requires specialized distributed systems experience.
Explicit 10+ years and Principal-level platform experience make filters strict.
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Lead architecture and evolution of a large-scale distributed data platform supporting real-time, streaming, and batch workloads.
Own design of core platform capabilities including data lifecycle management, metadata systems, orchestration, and developer-facing APIs.
Drive platform scalability, reliability, operational excellence, and incorporate automation and AI-assisted workflows to enhance system resilience and developer productivity.
10–15+ years 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 (scalability, fault tolerance, data consistency, performance) and hands-on experience with real-time and offline data platform services.
Proficiency in systems programming languages such as Java, Python, or Go; experience with production system reliability and observability.
Experienced leader capable of setting technical direction across multiple teams and domains within data platforms at scale.
Hands-on engineer with deep distributed systems knowledge who can influence and mentor senior engineers and drive architectural standards.
Familiar with incorporating automation and AI workflows to improve platform intelligence and operational automation with strong judgment on their value.