Senior Data Platform Engineer
CAI Mandaluyong, Metro Manila, Philippines
Professional Services · 5,001-10,000 employees
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About the role
You will design, build, and maintain scalable data pipelines and warehouse solutions on Microsoft Azure to replace legacy systems. Additionally, you will collaborate with stakeholders to modernize reporting and analytical capabilities using Python, Databricks, and Power BI.
What they look for
Requirements
Candidates must have a bachelor's degree in a relevant field and at least 5 years of experience in data or software engineering. Proficiency in Microsoft Azure, Python, Databricks, and Agile methodologies is required for this role.
Full description
Senior Data Platform Engineer
Req number:
R8620
Employment type:
Full time
Worksite flexibility:
Hybrid
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
- Apply software engineering best practices, including testing, security, deployment automation, and CI/CD
- Participate in Agile delivery processes, including Scrum and Kanban ceremonies
- Stay current with emerging cloud, data, and analytics technologies and recommend continuous improvements
What You'll Need
Required:
- 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
Preferred:
- 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
Physical Demands
- Ability to safely and successfully perform the essential job functions
- Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
- Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.
