Senior Data Platform Engineer — Cloud Pipelines & Analytics

Gratitude Philippines

Manila

On-site

PHP 900,000 - 1,500,000

Full time

14 days+

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Job summary

Gratitude Philippines is seeking a Senior Data Platform Engineer to design, develop, and optimize our enterprise data platform, enabling advanced analytics and data-driven decision making across the organization.

You will design scalable pipelines and data lake/warehouse architectures, optimize cloud workflows (Azure/AWS), and drive adoption of Databricks and Azure Data Factory within an Agile team to deliver reliable, scalable data solutions.

Qualifications

  • Minimum five years in platform or software engineering.
  • Strong analytical and problem-solving abilities.
  • Experience with cloud platforms (Azure or AWS).
  • Excellent written and spoken English.

Responsibilities

  • Design, build, and maintain scalable data pipelines and data lake/warehouse architectures.
  • Optimize data workflows for performance and cost in cloud environments (Azure/AWS).
  • Lead adoption of modern data engineering tools and frameworks (Databricks, Azure Data Factory).
  • Monitor and troubleshoot data platform performance and reliability.
  • Collaborate with product delivery and stakeholders to translate data needs into insights.
  • Participate in Agile processes including Scrum and Kanban.
  • Prepare high-level and detailed designs for data solutions.
  • Apply best practices in coding, testing, and deployment, including CI/CD.
  • Stay updated on analytics engineering trends and propose process improvements.

Skills

5+ years in platform/engineering
Analytical & problem solving
Azure/AWS cloud
English communication

Tools

Databricks
Azure Data Factory
CI/CD

Job description

Gratitude Philippines is seeking a Senior Data Platform Engineer to design, develop, and optimize our enterprise data platform, enabling advanced analytics and data-driven decision making across the organization.

You will design scalable pipelines and data lake/warehouse architectures, optimize cloud workflows (Azure/AWS), and drive adoption of Databricks and Azure Data Factory within an Agile team to deliver reliable, scalable data solutions.

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