Data Platform Engineer

Job Title: Data Platform Engineer
Location: Remote, USA
Job Type: Full-Time
Experience Required: 5 to 8 years
Eligibility: Male/Female both can apply

Role Description

We are looking for a Data Platform Engineer to build and improve the underlying data infrastructure, services, and operational capabilities that power analytics, reporting, and machine learning use cases. In this role, you will focus on the technical platform side of data, including scalability, orchestration, storage patterns, reliability, and engineering standards. You will collaborate with data engineers, analysts, software teams, and platform stakeholders to ensure that the data environment is robust, efficient, and ready for growing business demands. This role is ideal for someone who enjoys building long-term technical foundations for data-driven organizations.

Key Responsibilities

Build and improve data platform infrastructure and services
Support orchestration, storage, and reliability of data systems
Standardize data engineering environments and workflows
Improve performance and scalability of data infrastructure
Work with cross-functional teams on platform requirements
Troubleshoot platform issues affecting analytics workflows
Maintain data platform documentation and standards

Required Skills

Data platform engineering
Pipeline and orchestration awareness
Scalability thinking
Troubleshooting
Performance optimization
Documentation
Platform reliability
Cross-team collaboration

Originally posted on Himalayas

Data Platform Engineer