Getinz

Senior Staff Engineer – Data Platform

Getinz

full-time

Posted on:

Location Type: Hybrid

Location: BengaluruIndia

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Job Level

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Backend EngineeringData Platform architecturelarge-scale data infrastructure designBig Data technologiesHadoopKafkadata pipelinesGolangJavadata formats
Soft Skills
diagnostic skillsproblem-solving skillsinfluence technical directioncommunication skillscollaboration