Hybrid Senior Staff Engineer – Data Platform

at Getinz

• Job title: Senior Staff Engineer – Data Platform
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, BigQuery, Cloud, Google Cloud Platform, GRPC, Hadoop, Java, Kafka, Go
• Location requirements: Hybrid, Bengaluru, India

About the role

• Senior Staff Engineer-Data Platform building next-generation data pipelines for a global leader in cloud security. Driving architecture initiatives using advanced technologies for real-time security insights.

Responsibilities

• Build next-generation data pipelines for near real-time ingestion of security insights and intelligence data
• Design, architect, and scale distributed backend systems that power high-throughput, low-latency data platforms
• Drive Data Platform architecture initiatives leveraging technologies such as Snowflake, BigQuery, Databricks, and modern data lake ecosystems
• Partner with industry experts in security, big data, product, and engineering teams to conceptualize, design, and build innovative solutions for complex customer problems
• Evaluate open-source technologies to identify the best fit for platform needs and contribute to relevant ecosystems where applicable
• Collaborate with other teams to architect their systems on top of the data platform and influence overall system architecture and best practices

Requirements

• 13–15 Years of experience
• Strong Backend Engineering background
• Mandatory experience in Data Platform architecture and large-scale data infrastructure design
• Hands-on exposure to Big Data technologies such as Hadoop, Kafka, and modern data lake architectures
• Expertise in architecting and designing highly scalable, efficient, and fault-tolerant data pipelines for near real-time and real-time processing
• Experience with Data Platform technologies such as Snowflake, BigQuery, and Databricks
• Strong diagnostic and problem-solving skills with a demonstrated ability to simplify complex systems into elegant solutions
• Cloud-native data infrastructure experience with AWS, GCP, or similar cloud platforms
• Solid understanding of distributed object storage systems (e.g., S3, GCS), their architectures, consistency models, and scaling characteristics
• Good to have experience in designing high-throughput, low-latency data services; experience with gRPC/RPC is a plus
• Deep understanding of data formats such as Parquet and Iceberg, including partitioning, sorting, compression, and read performance optimization
• Expert-level proficiency in Golang, Java, or similar languages with a strong understanding of concurrency, distributed computing, and system-level optimizations
• Proven ability to influence technical direction and communicate with clarity
• Willingness to work with a globally distributed team across different time zones