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About the Role

ICES is seeking a Data Architect to join our Data Quality and Information Management department. This role provides expertise in data architecture, data governance, data processing, data security, and data modernization. The Data Architect will develop and implement enterprise data architecture strategies, ensure secure data management, support analytics and AI initiatives, and enable effective data use for research and operational objectives.

Responsibilities

• Develop and maintain ICES' data architecture strategy, roadmap, and governance framework, including data models, platforms, analytic environments, and AI capabilities.
• Provide expert architectural guidance to senior leadership, DQIM, and Technology teams.
• Collaborate with cross-functional teams to craft innovative and supportable solutions by identifying user needs and aligning technical capabilities with organizational objectives.
• Design, optimize, and govern enterprise data architectures and environments, including data models, warehouses, integration frameworks, metadata management, data quality standards, and security controls.
• Establish architectural principles, patterns, and technical standards for scalable, secure, and efficient data solutions.
• Collaborate with data engineers, DBAs, and technology teams to translate requirements into sustainable architecture designs supporting reporting, advanced analytics, AI, and data-sharing.
• Provide architectural oversight during implementation to ensure adherence to standards and future-state architecture.
• Lead end-to-end data architecture modernization initiatives, including platform evaluation, design, implementation, testing, deployment, and continuous improvement.
• Facilitate workshops and meetings with internal and external partners to gather feedback and ensure alignment between business objectives and technical solutions.
• Build strong partnerships with cross-functional teams and foster a culture of collaboration, innovation, continuous learning, and accountability.
• 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 for continuous improvement and modernization of the enterprise data ecosystem.
• Provide architectural guidance on data classification, retention, access controls, and secure data-sharing mechanisms.
• Develop and maintain architecture standards, specifications, documentation, secure data-sharing processes, and partnerships for regulatory compliance and data stewardship.
• Coach and mentor team members and technical staff to strengthen organizational capability.
• Support team members by developing knowledge-sharing materials and conducting hands-on sessions.
• Promote continuous learning and development by facilitating regular team meetings and knowledge-sharing sessions.
• Perform other duties as assigned within the scope of the position.

Requirements

• 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.
• 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, healthcare data governance, analytics platforms, and AI-enabled data solutions.
• Familiar with Hive, Pig, Python or other big data processing languages; familiar with Hadoop, SQL, and shell programming.
• Expertise in data governance, ETL design, data security, and data quality management.
• Strong documentation, architecture modeling, systems analysis, and technical communication skills.
• Demonstrated ability to translate complex business, research, and analytic requirements into practical and sustainable architecture solutions.
• Strong interpersonal skills, with demonstrated experience in collaborating effectively with cross-functional teams.
• Ability to work independently and resourcefully, taking proactive action to identify issues and solve problems while adapting to changing priorities.
• Knowledge in providing big data solutions based on open-source technologies.
• Experience in Healthcare data governance, data management, data mining, etc. is preferred.
• Excellent project management and organizational skills, with the ability to prioritize workload and manage multiple projects within tight timelines.
• Successful candidate must reside within Ontario while working under our remote flex model and be able to come into the office when required from time to time.
• Security clearance may be required.

Skills

• Data Architecture
• Data Governance
• Data Processing
• Data Security
• Data Modernization
• Data Modeling
• SQL Development
• Database Administration
• Data Lifecycle Management
• Data Lake Architectures
• Analytics Platforms
• AI-enabled Data Solutions
• Hive
• Pig
• Python
• Hadoop
• Shell Programming
• ETL Design
• Data Quality Management
• Documentation
• Architecture Modeling
• Systems Analysis
• Technical Communication
• Interpersonal Skills
• Collaboration
• Problem Solving
• Adaptability
• Big Data Frameworks
• Cloud Architectures
• Hybrid Architectures
• Analytics
• AI
• Open-source Technologies
• Healthcare Data Governance
• Data Management
• Data Mining
• Project Management
• Organizational Skills

Location

• Ontario

Work Type

• Remote
• Full-time

Experience Level

• 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
• 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

Education Level

• Bachelor’s degree in Computer Science, Computer Engineering or related field
• Master’s degree in Data Science, Computer Science, Computer Engineering or related field

Salary/Compensations

• $110,000 - $140,000

Benefits

• Flexible remote work arrangements anywhere in Ontario
• Competitive Compensation
• Comprehensive Benefits Program
• HOOPP Pension Plan (Defined Pension)
• Employee Assistance Program and Dialogue Well Being Program
• Generous vacation, float and caregiver days for all employees
• Education Fund and Dedicated Education Days
• Holiday Closure
• Perkopolis Employee Discount Program

About the Company

• ICES is a world-leading health 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.
• Join our outstanding, collaborative team where your skills, knowledge and curiosity are valued and can change the future of health care.

Equal Opportunity

• ICES is committed to ensuring equity in employment.
• Our goal is to attract, develop, and retain highly talented employees from diverse backgrounds allowing us to benefit from a wide variety of experiences and perspectives.
• ICES strongly encourages applications from candidates from equity-deserving communities including but not limited to First Nations, Métis, Inuit, Black and racialized, 2SLGBTQIA+, and persons with visible and non-visible disabilities.
• ICES is committed to providing accessible employment practices, in compliance with the Accessibility for Ontarians with Disabilities Act, 2005 (AODA).
• Applicants are asked to make accommodation requests to ICES and we will make every effort to ensure that accommodation requests are met throughout the recruitment process.