
Enterprise Data Architect
- Mississauga, ON
- Permanent
- Full-time
- Designing end-to-end enterprise data architectures that support analytics, reporting, and operational efficiency across a complex technology landscape.
- Leading data platform modernization efforts, including cloud migration, data lake architecture, and integration of emerging technologies including data science and AI.
- Responsible for creating roadmaps, and architectural artifacts and patterns which are aligned with the overall enterprise architectural direction.
- Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
- Driving the adoption of best practices in data modeling, metadata management, data lineage, and quality assurance.
- Providing architectural oversight and strategic direction on large-scale data initiatives, including data integration and warehousing.
- Partnering with cybersecurity and compliance teams to ensure data security, privacy, and regulatory compliance across all solutions.
- Mentoring technical teams, promoting knowledge sharing, and cultivating architectural excellence across the organization.
- Monitoring and optimizing system performance to ensure alignment with evolving business requirements and service-level objectives.
- Developing and maintaining comprehensive documentation for data architectures, models, and operational processes to support transparency and knowledge sharing.
- Evaluating new tools, platforms, and methodologies to continuously evolve and future-proof our data ecosystem.
- Producing architectural artifacts, reference models, and roadmaps that guide technology and business stakeholders in implementing scalable data solutions.
- Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field; equivalent work experience considered. An MBA or advanced degree is a plus.
- 15+ years of experience in IT and business/industry roles, including enterprise data architecture, systems lifecycle management, infrastructure planning, and operations.
- Proven success designing and executing enterprise-level data strategies and deploying scalable architecture across diverse technology environments.
- Expertise in data modeling, database design, and data warehousing.
- Excellent problem-solving and analytical skills with a strong focus on performance, scalability, and resiliency.
- Effective communication and collaboration skills, with the ability to translate business needs into architectural solutions.
- A continuous learning mindset and passion for emerging trends in data architecture, AI, and digital transformation.