Senior Data Platform Engineer (Azure, Databricks, Python/SQL)

About the Role We are looking for a Senior Data Platform Engineer to design, develop, and optimize enterprise-scale data platforms that enable advanced analytics and data-driven decision-making. This role will play a key part in building scalable data infrastructure, modernizing data processes, and supporting business-critical reporting and analytics solutions. [2644-0926...nt System) | PDF] Key Responsibilities Design, build, and maintain scalable, secure, and cost-efficient data pipelines and data lake/data warehouse architectures on Microsoft Azure. Implement and support modern data engineering tools and frameworks including Azure Data Factory and Databricks. Monitor, optimize, and troubleshoot platform performance, reliability, and operational efficiency. Collaborate with cross-functional teams and stakeholders to define data requirements and deliver robust data solutions. Prepare high-level and detailed technical designs for data platforms and integrations. Apply best practices in software development, testing, deployment, and CI/CD automation. Participate in Agile delivery processes including Scrum and Kanban ceremonies. Research emerging technologies and recommend continuous improvements to the data ecosystem. Perform other related duties as required. [2644-0926...nt System) | PDF] Required Qualifications Bachelor's degree in Information Technology, Engineering, Data Science, Computer Science, or a related field. At least 5 years of experience in data engineering, platform engineering, or software engineering. Strong analytical and problem-solving skills. Proven experience with Microsoft Azure cloud services, including Azure DevOps and CI/CD pipelines. Experience with Infrastructure as Code (IaC) tools such as Terraform. Strong development experience using Python and/or TypeScript. Hands-on experience building data pipelines and modern data warehouse solutions using Databricks, Python, and PySpark. Experience with relational databases, particularly PostgreSQL. Experience integrating data from enterprise sources including SharePoint Online, Excel files, and other business systems. Understanding of SDLC, project management methodologies, and Agile frameworks. Excellent verbal and written English communication skills. Experience working collaboratively within cross-functional teams. [2644-0926...nt System) | PDF] Preferred Qualifications Experience with Power BI semantic models, DAX, and REST API integrations. Certifications related to Azure, Databricks, DevOps, Scrum, or Secure Coding. Experience engaging with senior stakeholders and business leaders. [2644-0926...nt System) | PDF] Technical Skills Required Microsoft Azure Azure Data Factory Azure DevOps Databricks Python PySpark Terraform PostgreSQL CI/CD Data Warehousing Data Pipelines Nice to Have TypeScript Power BI DAX REST APIs Scrum / Kanban Work Setup Hybrid work arrangement (3x onsite per week) Day shift: 8:00 AM to 5:00 PM Manila Time Project-based engagement with potential extension based on project requirements.