Principal Architect Data Platforms

Job highlights

• Define and drive architecture for a distributed data platform supporting real-time,streaming,and batch workloads . Lead design of core platform capabilities such as data lifecycle management,metadata systems,orchestration,and developer-facing APIs .
• Experience running production systems with strong focus on reliability,observability,and operational excellence . .

Principal Architect Distributed Data Platform

Location: Bengaluru

Job Type: Full-time

What You ll Do

• Define and drive architecture for a distributed data platform supporting real-time, streaming, and batch workloads
• Lead design of core platform capabilities such as data lifecycle management, metadata systems, orchestration, and developer-facing APIs
• Build systems that improve data reliability, consistency, discoverability, and ease of use across diverse internal consumers
• Drive platform scalability, performance, and cost efficiency across high-throughput, low-latency systems
• Introduce automation and AI-assisted workflows (e.g., intelligent diagnostics, validation, safe remediation) to reduce operational overhead and improve system resilience
• Establish strong operational foundations: observability, SLOs, failure handling, and production excellence
• Partner with engineering teams across the company to influence adoption, standardization, and platform evolution
• Mentor senior engineers and contribute to raising engineering and architectural standards

What You Bring

• ~10 15+ years of experience building large-scale distributed systems, infrastructure, or data platforms
• Experience operating at Staff+ or Principal level, leading complex, cross-team technical initiatives
• Strong fundamentals in distributed systems (scalability, fault tolerance, data consistency, performance)
• Experience with high-scale streaming systems, event-driven architectures, or real-time data processing
• Hands-on experience building platform services that support both real-time and offline workloads
• Proficiency in systems programming (e.g., Java, Python, Go) with the ability to go deep when needed
• Experience running production systems with strong focus on reliability, observability, and operational excellence
• Familiarity with automation or AI-assisted systems (e.g., agentic workflows, intelligent tooling) and sound judgment on where they add value
• Strong communication and ability to influence across a broad engineering organization

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.