{"id":2418808,"url":"https://alion.io/job/cai-senior-data-platform-engineer","title":"Senior Data Platform Engineer","company":{"id":1819291,"name":"CAI","domain":"cai.io","url":"https://alion.io/company/cai-io","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manila, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":45000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Kanban","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"SharePoint","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-13T05:17:54Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Senior Data Platform EngineerReq number:\nR8619Employment type:\nFull timeWorksite flexibility:\nHybridWho we are\nCAI 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.\nJob Summary\nAs 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\nWe 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.\nThe 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.\nWhat You'll Do\nDesign, build, and maintain scalable, secure, and cost-efficient data pipelines, data lakes, and data warehouse solutions on Microsoft Azure\nDevelop and optimize data integration frameworks using Databricks, Python, PySpark, and Azure Data Factory\nRe-engineer legacy VBA and Excel-based business logic into scalable Python-based solutions\nUpgrade and enhance enterprise data marts to support projections, assumptions, and analytical reporting requirements\nImplement automated data integration processes across multiple enterprise data sources\nEnable parallel scenario computations and high-performance processing capabilities\nPrepare high-level and detailed technical designs for data solutions\nCollaborate with business stakeholders, analysts, and delivery teams to define and implement data requirements\nDesign and support web-based solutions for managing business assumptions and projection inputs\nSupport the modernization of reporting and visualization capabilities using Power BI and other analytics tools\nMonitor, troubleshoot, and optimize platform performance, reliability, and operational efficiency\nApply software engineering best practices, including testing, security, deployment automation, and CI/CD\nParticipate in Agile delivery processes, including Scrum and Kanban ceremonies\nStay current with emerging cloud, data, and analytics technologies and recommend continuous improvements\nWhat You'll Need\nRequired:\nBachelor's Degree in Information Technology, Engineering, Data Science, Computer Science, or a related discipline\n5+ years of experience in Data Engineering, Platform Engineering, or Software Engineering\nProven experience designing, developing, and supporting integrated enterprise data platforms\nStrong analytical, troubleshooting, and problem-solving skills\nHands-on experience with Microsoft Azure services, including Azure DevOps and CI/CD pipelines\nExperience with Infrastructure as Code (IaC) tools such as Terraform\nExperience developing microservices and data integration solutions using Python and/or TypeScript\nStrong experience developing modern data pipelines and data warehouse solutions using Databricks, Python, and PySpark\nPractical experience with relational databases, particularly PostgreSQL\nExperience integrating data from SharePoint Online, Excel files, and enterprise systems\nWorking knowledge of SDLC methodologies and Agile frameworks such as Scrum or Kanban\nExperience working within collaborative teams of five or more members\nStrong communication skills with the ability to engage senior stakeholders and cross-functional teams\nPreferred:\nExperience with Power BI Semantic Models, DAX, and REST API integrations\nAzure, Databricks, Scrum, DevOps, or Secure Coding certifications\nExperience building enterprise reporting and dashboarding solutions\nExposure to financial systems, forecasting platforms, or treasury-related applications\nExperience supporting cloud-native data modernization initiatives\nPhysical Demands\nAbility to safely and successfully perform the essential job functions\nSedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.\nAbility to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor\nReasonable accommodation statement\nIf 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  (888) 824 - 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