Data Engineering

Data. Better Health. ICES is a world-leadinghealth research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and helps ensure better health for all. Flexible remote work arrangements anywhere in Ontario HOOPP Pension Plan (Defined Pension) Employee Assistance Program and Dialogue Well Being Program Generous vacation, float and caregiver days for all employees Holiday Closure Introduction:ICES is seeking a Data Architect to join our Data Quality and Information Management department (DQIM). Reporting to the Director, DQIM, the Data Architect provides expertise in data architecture, data governance, data processing, data security, and data modernization across ICES data environments. The role is responsible for developing and implementing enterprise data architecture strategies, ensuring secure and efficient data management practices, supporting analytics and AI initiatives, and enabling the effective use of data assets to support ICES' research and operational objectives. Responsibilities of the position include, but may not be limited to:Data Architecture Strategy, Delivery and Modernization: Develop and maintain ICES' data architecture strategy, roadmap, governance framework including data models, data platforms, analytic environments and AI-enabled capabilities aligned with organizational objectives; Provide expertarchitectural guidance to senior leadership, DQIM, and Technology teams; Collaborate with cross-functional teams to craft innovative and supportable solutions by utilizing a consultative approach to identify user needs and aligning technical capabilities with organizational objectives. Data Environment Design & Optimization: Design, optimize, and govern enterprise data architectures and data environments, including data models, data warehouses, data integration frameworks, metadata management, data quality standards, and security controls; Establish architectural principles, patterns, and technical standards that ensure scalable, secure, and efficient data solutions; Collaborate with data engineers, database administrators, and technology teams to translate business and analytic requirements into sustainable architecture designs that support reporting, advanced analytics, AI, and data-sharing initiatives; Provide architectural oversight and guidance throughout implementation to ensure adherence to established standards and future-state architecture. Lead end-to-end data architecture modernization initiatives, including platform evaluation, technical design, implementation, testing, deployment, and continuous improvement of data solutions; Facilitate workshops and meetings with internal and external partners to gather feedback and ensure alignment between business objectives and technical solutions, fostering effective communication and collaboration; Innovation, Technology Evaluation & Data Compliance & Stewardship: Research, evaluate, and recommend emerging technologies, data management approaches, and architectural solutions to support innovation, scalability, analytics, and AI adoption; Monitor industry trends, regulatory changes, and emerging technologies to identify opportunities for continuous improvement, innovation, and modernization of the enterprise data ecosystem; Provide architectural guidance on data classification, retention, access controls, and secure data-sharing mechanisms to protect sensitive information and mitigate organizational risk; Develop and maintain architecture standards, specifications, documentation, secure data-sharing processes, and internal/external partnerships to ensure regulatory compliance and effective data stewardship. Coach and mentor team members and technical staff to strengthen organizational capability; Provide support to team members by developing knowledge sharing materials and conducting hands‑on sessions, fostering a collaborative environment that encourages knowledge sharing and professional growth; Bachelor’s degree in Computer Science, Computer Engineering or related field; 6 years of experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premises, cloud and hybrid architectures to enable use cases in analytics and AI; Relevant cloud, data architecture, or database certifications. Master’s degree in Data Science, Computer Science, Computer Engineering or related field; Experience within healthcare, health research, or public‑sector data environments; AWS, Azure, GCP, TOGAF, DAMA/CDMP, or equivalent certifications. Minimum Required Position-Specific Knowledge and Technical

Skills:
Expertise in data architecture, data modeling, SQL development, database administration (such as Oracle, SQL Server, DB2, MySQL, MongoDB, NoSQL, etc.) and data lifecycle management; Experience with Data Lake architectures