Data Platform Engineer

CodeRound; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

CodeRound is seeking a Data Platform Engineer to design, build, and maintain scalable data infrastructure powering analytics, AI/ML, and BI systems. The role focuses on distributed data systems, cloud infrastructure, and large-scale data processing.

You will design and optimize data pipelines, manage distributed processing, and collaborate with data scientists and backend teams to ensure security, reliability, and governance.

Qualifications

• Experience with distributed data systems and scalable data infrastructure.
• Experience designing and maintaining cloud-based data platforms.
• Proficiency with batch and real-time data pipelines and ETL/ELT workflows.

Responsibilities

• Design and maintain scalable data platform infrastructure.
• Build and optimize batch and real-time data pipelines.
• Develop reliable ETL/ELT workflows for large-scale datasets.
• Manage distributed data processing systems and tools.
• Collaborate with data scientists, analysts, and backend teams.
• Ensure platform scalability, security, and reliability.
• Monitor and troubleshoot production data systems.
• Improve data governance and data quality processes.
• Automate infrastructure and deployment workflows.
• Contribute to architecture and technical decision-making.

Skills

Distributed data systems

Cloud infrastructure

Large-scale data processing

Tools

ETL/ELT workflows

Job description

Client: A fast-growing, Gartner-recognized AI enterprise scaleup backed by $67M in funding that builds next-generation, math-first platforms to transform global supply chain decisions.

Requirements:

We are looking for a Data Platform Engineer to design, build, and maintain scalable data infrastructure and platform services that power analytics, AI/ML, and business intelligence systems. The ideal candidate should have strong experience with distributed data systems, cloud infrastructure, and large-scale data processing.

Responsibilities:

• Design and maintain scalable data platform infrastructure
• Build and optimize batch and real-time data pipelines
• Develop reliable ETL/ELT workflows for large-scale datasets
• Manage distributed data processing systems and tools
• Collaborate with data scientists, analysts, and backend teams
• Ensure platform scalability, security, and reliability
• Monitor and troubleshoot production data systems
• Improve data governance and data quality processes
• Automate infrastructure and deployment workflows
• Contribute to architecture and technical decision-making