PHC Ventures is seeking a Cloud Data and Application Solution Specialist to help power the next generation of digital health innovation — with profits reinvested back into public care. As the for-profit innovation arm of Providence Health Care (PHC), PHC Ventures (PHCV) partners with industry, startups, and health system leaders to design, build, and commercialize digital solutions that improve patient care across British Columbia and beyond. From advancing initiatives like the Intelligent Network for Point-of-Care Ultrasound (IN PoCUS) to supporting scalable analytics platforms, this role sits at the intersection of cloud engineering, healthcare data, and real-world impact. If you’re excited about building secure, scalable, cloud-native data and application solutions in Azure and AWS — while contributing to meaningful change in public healthcare — this is your opportunity to do both. Reporting to the Director of Software Engineering at Elevare Health, PHC Ventures, the Cloud Data and Application Solution Specialist is responsible for the design, development, and maintenance of cloud-based data platforms and applications that support PHC’s operational, clinical, and analytics needs. This role spans data engineering, relational data design, and full-stack cloud application development, with a strong emphasis on efficient data movement, cost-optimized pipelines, and scalable architectures. As a member of the Elevare Health team within Providence Health Care Ventures, the Specialist designs and delivers relational data models, data pipelines, APIs, and web-based applications that enable analytics, reporting, and decision-support solutions. The role supports PHC’s Elevare Hub and the shared PHC/VCH regional Analytics platforms, primarily using Azure and AWS. The Cloud Data and Application Solution Specialist works closely with clinical, operational, analytics, and engineering stakeholders to gather requirements, design cloud-native and data-centric solutions, and ensure reliable, secure, and cost-effective data access for downstream applications and analytics. The Specialist remains current with industry trends in relational and dimensional data modeling, cloud-native development, data engineering, optimization techniques, and advanced analytics, and collaborates with provincial and national partners as required.
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Job Type
Full-time
Career Level
Mid Level