Senior Staff Engineer – Data Platform

🕒 February 26

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Getinz

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

👥 HR Tech

🎯 Recruiter

🤝 B2B

HR Tech • Recruitment • B2B

Getinz is an executive search and recruitment firm dedicated to helping companies find top talent that drives growth and innovation. With over 8 years of experience, Getinz specializes in identifying, attracting, and hiring suitable candidates for various job openings, including executive search, product company hiring, and contract staffing solutions. They tailor their approaches to meet the unique demands of different industries, focusing on aligning talent acquisition strategies with organizational goals to foster sustainable success.

📋 Description

• 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