Senior Data Platform Engineer

Gratitude Philippines; Manila; On-site; PHP 900,000 - 1,500,000; Full time

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

About the Role:

The Senior Data Platform Engineer will be responsible for the design, development, and optimization of our enterprise data platform. This role is key in building scalable data infrastructure, enabling advanced analytics, and supporting data-driven decision-making across the organization.

Responsibilities:

• Design, build, and maintain scalable and secure data pipelines and data lake/warehouse architectures.


• Optimize data workflows for performance and cost-efficiency in cloud environments (e.g., Azure)


• Lead the adoption of modern data engineering tools and frameworks (e.g., Databricks, Azure Data Factory).


• Monitor and troubleshoot data platform performance and reliability issues.


• Collaborate with the product delivery team and business stakeholders to understand data requirements and deliver meaningful insights.


• Participate in Agile development processes including Scrum and Kanban events.


• Prepare high-level and detailed technical designs for data solutions.


• Apply best practices in coding, testing, and deployment, including Cl/CD pipelines.


• Stay updated with the latest trends in analytics engineering and suggest process improvements.

Qualifications:

• At least five (5) years of experience in a platform engineering or software engineering role.


• Strong analytical and problem-solving skills.


• Proven experience with cloud platforms such as Azure or AWS.


• Excellent oral and written communication skills in English.