About this role
Senior Data Platform Engineer Req number: R8619 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.