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.

• Perform other relevant tasks as assigned.

Qualifications:

• Graduate of Bachelor of Science in Information Technology, Engineering, Data Science, or other related fields.

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

• At least five (5) years of experience in architecture, design, and development of integrated systems.

• Strong analytical and problem-solving skills.

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

• Proven experience in Infrastructure as Code tools like Terraform

• Proven experience developing microservices for data integration using Typescript or Python

• Familiarity with developing data pipelines modern data warehousing solutions like Databricks

• Familiarity with relational databases like Microsoft SQL Server, etc.

• Familiarity with software development lifecycle and project management methodologies.

• Experience in Agile methodologies (e.g., Scrum or Kanban).

• Experience with Azure DevOps is preferred.

• Experience with Azure Cloud Services and Cl/CD pipelines is an advantage.

• Certifications in Secure Coding, Scrum, or DevOps are a plus.

• Experience working in teams of five or more members.

• Ability to work with senior executives from diverse cultures.

• Excellent oral and written communication skills in English.

Pre - Screening questions:

1. What is your highest educational attainment?

2. How many years of experience do you have as a Data Platform Engineer or a software engineer?

How many years of experience in architecture, design, and development of integrated systems?

4. Last drawn salary

5. Salary expectation

6. Are you willing to work on a hybrid setup in Ortigas, Pasig, with a day shift schedule?

7. Are your TOR and Diploma available on hand?

8. Notice period