Project Overview Public Health Ontario (PHO) is building provincial enhanced analytics capability and infrastructure that turns public health data into timely analytics, surveillance, and decision support.

Key Responsibilities - Participate in product teams to analyze system requirements, and architect, design, code, and implement cloud-based data and analytics products that conform to standards.

- Design, create, and maintain cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, and visualizations (dashboards and reports).
- Liaise with IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in the effective use of cloud-based data and analytics products.
- Analyze complex technical issues, identify alternatives, and recommend solutions.
- Prepare and conduct knowledge transfer.
- Automate the data pipeline for analytic products and advanced analyses, including ingestion, ETL, and production for the foundational capability and for HealthMap (DLSPH model data).
- Help identify and prioritize analytic use cases and integrate AI techniques (machine learning, NLP) into PHO’s work.
- Increase PHO’s capacity for modelling, forecasting, and scenario analysis.
- Build on and advance the PHDU and PHO’s Azure data and analytics platform; support data acquisition through data-sharing and governance processes where required.
- Document methods and transfer knowledge to PHO staff so the pipeline and capability can be sustained beyond the engagement.
- Automated data pipelines and cloud data lake / Lakehouse structures supporting the capability and HealthMap.
- Analytics models and visualizations (dashboards and reports) conforming to standards.
- Prioritized AI / ML use cases and supporting models (forecasting, scenario analysis).
- Knowledge-transfer documentation and sessions for PHO technical staff.





Qualifications & Requirements REQUIRED - Must be able to work 2 days onsite per week - Experience with multiple cloud-based data and analytics platforms and coding / programming / scripting tools to create, maintain, support, and operate cloud-based data and analytics products.

- Experience designing, creating, and maintaining cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, medallion architecture, and visualizations (dashboards and reporting) in real-world implementations.
- Deep experience with up-to-date technology stacks: Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse. Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.
- Experience assessing client information-technology needs and objectives.
- Experience problem-solving to resolve complex, multi-component failures.
- Experience preparing knowledge-transfer documentation and conducting knowledge transfer.
- A team player with a track record for meeting deadlines.
- Public sector experience.
- Be an advanced professional able to apply concepts, practices, and procedures in practice.
- Work with minimal direction and lead and train others in technical components and concepts.
- Plan, lead, and deliver complex deliverables that provide options for decisions within the organization.
- Bring a high level of expertise in the required skill set, specialized in the technical area, and provide specific advisory support as required. NICE TO HAVE - Written and oral communication skills to participate in team meetings, write and edit systems documentation, prepare and present written reports on findings and alternative solutions, and develop guidelines / best practices.
- Interpersonal skills to explain and discuss the advantages and disadvantages of various approaches.
- Experience conducting knowledge-transfer sessions and building documentation for technical staff on architecting, designing, and implementing end-to-end data and analytics products.

Key Skills & Competencies Azure Storage, Azure Data Lake, Azure Databricks, Azure Synapse, Power BI, Python, SQL, Azure Data Factory, Machine Learning, NLP, ETL, Data Pipelines, Data Lake, Lakehouse, Medallion Architecture

📌 Data Science Developer - Senior (Toronto)
🏢 GovTech Talent Solutions
📍 Toronto