Senior Data Platform Engineer
- Compensation
- Not disclosed
- Location
- Manila - One World Square
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's Degree in Information Technology, Engineering, Data Science, Computer Science, or a related discipline
- 5+ years of experience in Data Engineering, Platform Engineering, or Software Engineering
- Proven experience designing, developing, and supporting integrated enterprise data platforms
- Strong analytical, troubleshooting, and problem-solving skills
- Hands-on experience with Microsoft Azure services, including Azure DevOps and CI/CD pipelines
- Experience with Infrastructure as Code (IaC) tools such as Terraform
- Experience developing microservices and data integration solutions using Python and/or TypeScript
- Strong experience developing modern data pipelines and data warehouse solutions using Databricks, Python, and PySpark
- Practical experience with relational databases, particularly PostgreSQL
- Experience integrating data from SharePoint Online, Excel files, and enterprise systems
- Working knowledge of SDLC methodologies and Agile frameworks such as Scrum or Kanban
- Experience working within collaborative teams of five or more members
- Strong communication skills with the ability to engage senior stakeholders and cross-functional teams
Nice to have
- Experience with Power BI Semantic Models, DAX, and REST API integrations
- Azure, Databricks, Scrum, DevOps, or Secure Coding certifications
- Experience building enterprise reporting and dashboarding solutions
- Exposure to financial systems, forecasting platforms, or treasury-related applications
- Experience supporting cloud-native data modernization initiatives
Full description
Senior Data Platform Engineer
Req number:
R8619
Employment type:
Full time
Worksite flexibility:
Hybrid
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Who we are
CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
As a Senior Data Platform Engineer you will play a critical part in replacing legacy Excel/VBA-based systems with a scalable, cloud-based data ecosystem leveraging Microsoft Azure, Databricks, Python, and modern data engineering practices.
Job Description
We are seeking a Senior Data Platform Engineer to join a strategic transformation initiative focused on modernizing financial projection and reporting platforms. This position will be full-time and hybrid in Mandaluyong City.
The successful candidate will be responsible for designing, building, and optimizing enterprise-grade data platforms, enabling advanced analytics, automated data integration, and modern reporting solutions that support data-driven decision-making across the organization.
What You'll Do
- Design, build, and maintain scalable, secure, and cost-efficient data pipelines, data lakes, and data warehouse solutions on Microsoft Azure
- Develop and optimize data integration frameworks using Databricks, Python, PySpark, and Azure Data Factory
- Re-engineer legacy VBA and Excel-based business logic into scalable Python-based solutions
- Upgrade and enhance enterprise data marts to support projections, assumptions, and analytical reporting requirements
- Implement automated data integration processes across multiple enterprise data sources
- Enable parallel scenario computations and high-performance processing capabilities
- Prepare high-level and detailed technical designs for data solutions
- Collaborate with business stakeholders, analysts, and delivery teams to define and implement data requirements
- Design and support web-based solutions for managing business assumptions and projection inputs
- Support the modernization of reporting and visualization capabilities using Power BI and other analytics tools
- Monitor, troubleshoot, and optimize platform performance, reliability, and operational efficiency