Principal Engineer, Data Platform

Getinz

full-time

Posted on: 9/7/2025

Location: 🇮🇳 India

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Lead

AWSCloudDistributed SystemsGoGoogle Cloud PlatformGRPCJava

About the role

Lead design and development of next-generation data pipelines enabling near real-time ingestion and processing of massive datasets.
Architect and build scalable, fault-tolerant, low-latency data pipelines for real-time/near real-time processing.
Partner with cross-functional teams to design innovative solutions for complex data and security problems.
Evaluate, adopt, and contribute to open-source technologies that enhance the data platform ecosystem.
Influence product and engineering teams by providing guidance on architecture and platform best practices.
Act as a thought leader, driving technical direction and innovation within the data engineering domain.
Collaborate with global teams and strengthen technical and architectural depth.

More than 12 years of experience.
Extensive experience architecting and scaling real-time/near real-time data systems.
Strong analytical and problem-solving skills, with ability to simplify complex technical challenges.
Deep expertise in distributed systems, concurrency, and performance optimization.
Proficiency in Golang, Java, or similar languages.
Solid understanding of gRPC streaming, serialization formats (Protobuf, Avro), and distributed security models (TLS, authentication, authorization).
Hands-on experience with distributed object storage (S3, GCS) and data formats (Parquet, Iceberg), including optimization for scale and performance.
Strong background in cloud-native data infrastructure (AWS, GCP, etc.).
Excellent communication skills and proven ability to influence and align teams globally.