Senior Data Platform Engineer (Azure, Databricks, Python/SQL)

Ascendion; Pasig; Hybrid; PHP 1,674,000 - 3,013,000; Full time

Job summary

Ascendion is seeking a Senior Data Platform Engineer to design, develop, and optimize enterprise-scale data platforms on Microsoft Azure, enabling advanced analytics and data-driven decision-making.

You will build scalable data pipelines and modern data warehouse solutions using Databricks, PySpark, Python, and Terraform; collaborate with cross-functional teams; and support CI/CD and Agile delivery.

Qualifications

• Bachelor's degree in IT, engineering, data science, CS or related field.
• 5+ years in data engineering, platform engineering or software engineering.
• Strong analytical and problem‑solving skills.
• Experience with Azure cloud, Azure DevOps and CI/CD pipelines.
• IaC with Terraform; Python and/or TypeScript experience.
• Data pipelines and modern data warehouse solutions with Databricks, PySpark, Python.
• PostgreSQL and data integration from enterprise sources.
• Understanding of SDLC, agile methodologies, and cross‑functional teamwork.
• Excellent verbal and written English communication.

Responsibilities

• Design, build, and maintain scalable data pipelines and data lake/warehouse architectures on Azure.
• Implement and support modern data engineering tools including Azure Data Factory and Databricks.
• Monitor and optimize platform performance, reliability, and cost efficiency.
• Collaborate with cross‑functional teams to define data requirements and deliver robust solutions.
• Prepare high‑level and detailed technical designs for data platforms and integrations.
• Apply best practices in software development, testing, deployment, and CI/CD automation.
• Participate in Agile delivery processes (Scrum/Kanban) and research new technologies for improvement.
• Perform related duties as required.

Skills

Strong analytical skills

English communication

Agile / Scrum familiarity

Cross-functional collaboration

Education

Bachelor's degree in Information Technology/Engineering/Data Science/CS

Tools

Microsoft Azure

Azure Data Factory

Azure DevOps

Databricks

Python

PySpark

Terraform

PostgreSQL

CI/CD

Data Warehousing

Data Pipelines

Job description

About the Role

We are looking for a Senior Data Platform Engineer to design, develop, and optimize enterprise-scale data platforms that enable advanced analytics and data-driven decision-making. This role will play a key part in building scalable data infrastructure, modernizing data processes, and supporting business-critical reporting and analytics solutions. [2644-0926...nt System) | PDF]

Key Responsibilities

• Design, build, and maintain scalable, secure, and cost-efficient data pipelines and data lake/data warehouse architectures on Microsoft Azure.

• Implement and support modern data engineering tools and frameworks including Azure Data Factory and Databricks.

• Monitor, optimize, and troubleshoot platform performance, reliability, and operational efficiency.

• Collaborate with cross-functional teams and stakeholders to define data requirements and deliver robust data solutions.

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

• Apply best practices in software development, testing, deployment, and CI/CD automation.

• Participate in Agile delivery processes including Scrum and Kanban ceremonies.

• Research emerging technologies and recommend continuous improvements to the data ecosystem.

• Perform other related duties as required. [2644-0926...nt System) | PDF]

Required Qualifications

• Bachelor's degree in Information Technology, Engineering, Data Science, Computer Science, or a related field.

• At least 5 years of experience in data engineering, platform engineering, or software engineering.

• Strong analytical and problem-solving skills.

• Proven experience with Microsoft Azure cloud services, including Azure DevOps and CI/CD pipelines.

• Experience with Infrastructure as Code (IaC) tools such as Terraform.

• Strong development experience using Python and/or TypeScript.

• Hands-on experience building data pipelines and modern data warehouse solutions using Databricks, Python, and PySpark.

• Experience with relational databases, particularly PostgreSQL.

• Experience integrating data from enterprise sources including SharePoint Online, Excel files, and other business systems.

• Understanding of SDLC, project management methodologies, and Agile frameworks.

• Excellent verbal and written English communication skills.

• Experience working collaboratively within cross-functional teams. [2644-0926...nt System) | PDF]

Preferred Qualifications

• Experience with Power BI semantic models, DAX, and REST API integrations.

• Certifications related to Azure, Databricks, DevOps, Scrum, or Secure Coding.

• Experience engaging with senior stakeholders and business leaders. [2644-0926...nt System) | PDF]

Technical Skills

Required

• Microsoft Azure

• Azure Data Factory

• Azure DevOps

• Databricks

• Python

• PySpark

• Terraform

• PostgreSQL

• CI/CD

• Data Warehousing

• Data Pipelines

Nice to Have

• TypeScript

• Power BI

• DAX

• REST APIs

• Scrum / Kanban

Work Setup

• Hybrid work arrangement (3x onsite per week)

• Day shift: 8:00 AM to 5:00 PM Manila Time

• Project-based engagement with potential extension based on project requirements.