Senior Data Platform Engineer
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Manila, Philippines | Hybrid (3 days onsite/week) | 1-Year Fixed-Term Contract
About the Role
We are seeking a Senior Data Platform Engineer to design, build, and optimize scalable, enterprise-grade data infrastructure on Microsoft Azure. In this key role, you will lead the modernization of complex financial projection and data processing architectures into high-performance cloud solutions. By leveraging modern data engineering tools like Databricks and Python, you will enable advanced analytics and support data-driven decision-making across the organization.
Key Responsibilities
- Architect, implement, and maintain secure, scalable, and cost-efficient data pipelines and data lake/warehouse solutions on Microsoft Azure.
- Reprogram legacy financial calculation logic and Excel/VBA processes into modern Python and Databricks workstreams.
- Build modern data integration microservices using Python or TypeScript, and automate ingestions from enterprise sources like SharePoint Online and Excel.
- Implement Infrastructure as Code (IaC) using Terraform, alongside CI/CD pipelines and automated testing via Azure DevOps.
- Optimize, monitor, and troubleshoot data platform performance while ensuring alignment with Agile, Scrum, and security best practices.
Qualifications
- Bachelor’s degree in Information Technology, Engineering, Data Science, or a related field.
- Minimum 5 years of hands‑on experience in data engineering, platform engineering, or software engineering.
- Proven track record building end-to-end data pipelines using Microsoft Azure, Databricks, Python, PySpark, and relational databases like PostgreSQL.
- Practical experience with Infrastructure as Code (Terraform), CI/CD pipelines (Azure DevOps), and microservices creation (Python/TypeScript).
- Strong expertise in ingesting data from varied sources and familiarity with Agile/Scrum delivery methodologies.