Cloud Data and Solution Specialist

Salary

The salary range for this position is CAD $38.12/Hr.

- CAD $54.80/Hr.

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), 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.

• Design and deliver scalable cloud data platforms: Architect and build relational data models, data pipelines, and cloud-native solutions across Azure and AWS that support operational, clinical, and analytics use cases. You’ll focus on performance, reliability, and cost-optimized data movement to enable decision-support and reporting at scale.
• Develop data-driven applications and APIs: Build and maintain backend services, APIs, and web-based applications that provide secure, efficient access to curated healthcare datasets and analytics outputs. You’ll work across the full stack to ensure seamless integration between data infrastructure and end-user tools.
• Optimize data integration and engineering workflows: Design and enhance ETL/ELT processes using SQL, Databricks, Spark-based tools, and cloud-native technologies. You’ll modernize and automate data ingestion, transformation, and deployment processes while ensuring high standards of data integrity, testing, and performance tuning.
• Collaborate to modernize healthcare analytics infrastructure: Partner with clinical, operational, analytics, and health informatics teams to migrate and evolve shared PHC/VCH regional analytics platforms. You’ll ensure solutions are secure, compliant with healthcare data governance standards, and aligned with long-term innovation goals.

Education, Training and Experience

• A level of education, training, and experience equivalent to a Master’s Degree in Computer Science, Software Engineering, Data Engineering, Data Science, or a related technical discipline is required, plus three (3) or more years of progressively responsible experience working as a Data Engineer, Cloud Engineer, Software Developer, Business…