Platform Engineer

Role Overview We are seeking an experienced Platform Engineer with strong expertise in enterprise SaaS analytics platform administration, data integration, APIs, SQL, Git, and Azure DevOps . The candidate will be responsible for administering and supporting enterprise analytics platforms, integrating data from engineering and DevOps systems, and ensuring the reliability, accessibility, and usability of platform data. A key requirement is the ability to take ownership of an existing platform with limited or undocumented knowledge , understand its architecture and data flows, and establish effective operational processes and documentation. The ideal candidate should be comfortable working independently, troubleshooting complex platform and integration issues, and collaborating with engineering, DevOps, security, and business stakeholders. Key Responsibilities Enterprise SaaS Platform Administration Administer and support enterprise SaaS-based analytics platforms in a large-scale organizational environment. Configure and maintain platform settings, users, access, data sources, integrations, and analytics capabilities. Monitor platform health, availability, data quality, and integration status. Troubleshoot platform, data, configuration, and integration-related issues. Establish operational procedures and best practices for ongoing platform administration. Take ownership of an existing platform and quickly develop an understanding of its architecture, configuration, integrations, and operational dependencies. Git & Azure DevOps Data Integration Work with Git and Azure DevOps data models to understand engineering and software delivery data. Configure and maintain integrations that ingest engineering and DevOps data into enterprise analytics platforms. Understand repository, commit, pull request, branch, build, release, work item, and related engineering data structures. Validate data ingestion, transformation, mapping, and availability within the analytics platform. Troubleshoot data discrepancies and integration failures across source systems and the analytics platform. API Integration & Data Engineering Design, implement, and maintain API-based integrations between enterprise SaaS platforms and internal systems. Work with REST APIs and associated authentication mechanisms to retrieve, exchange, and manage platform data. Develop scripts or utilities to automate data extraction, validation, platform administration, and operational activities. Monitor API integrations and troubleshoot failures, authentication issues, data mapping problems, and connectivity issues. Collaborate with engineering teams to understand source-system changes and their impact on downstream analytics. SQL & Data Validation Develop and execute SQL queries for data validation, troubleshooting, reconciliation, and analysis. Investigate data quality issues and identify discrepancies between source systems and analytics…