Senior Azure Data Platform Engineer: Databricks & Pipelines

Datamatics; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Datamatics is seeking a senior data engineer to design, build, and maintain scalable data pipelines and data lake/warehouse architectures on Microsoft Azure. You will collaborate with product teams and stakeholders to define data requirements and ensure reliable data solutions.

Expertise with Databricks, Python, PySpark, and PostgreSQL is essential, along with Terraform and CI/CD practices. The role requires strong communication skills and experience delivering in Agile environments, such as

Qualifications

• At least five years of experience in data engineering, platform engineering, or software engineering.
• Strong analytical and problem-solving skills.
• Experience with Microsoft Azure cloud services, including CI/CD pipelines and Azure DevOps.
• Practical experience with Databricks, Python, and PySpark.

Responsibilities

• Design, build, and maintain scalable data pipelines on Azure.
• Monitor, optimize, and troubleshoot data platform performance and reliability.
• Collaborate with product delivery teams and stakeholders to define data requirements.
• Apply SDLC best practices, testing, deployment, and CI/CD.

Skills

Azure

Databricks

Python

PySpark

PostgreSQL

Terraform

CI/CD

REST API

Agile/Scrum

Data pipelines

Tools

Azure Data Factory

Azure DevOps

Databricks

Terraform

PostgreSQL

Job description

Datamatics is seeking a senior data engineer to design, build, and maintain scalable data pipelines and data lake/warehouse architectures on Microsoft Azure. You will collaborate with product teams and stakeholders to define data requirements and ensure reliable data solutions.

Expertise with Databricks, Python, PySpark, and PostgreSQL is essential, along with Terraform and CI/CD practices. The role requires strong communication skills and experience delivering in Agile environments, such as