Principal Data Architect

OpenText; Mississauga; On-site; CAD 120,000 - 150,000; Full time

Job summary

OpenText is seeking a Principal Data Architect to lead the design and evolution of enterprise data architecture. This role involves strategic leadership, modernizing data platforms, and collaborating with cross-functional teams to enhance data solutions and drive business performance.

Qualifications

• 15+ years of experience in IT and business/industry roles.
• Proven success in data architecture and scalable design.
• Expertise in data modeling and data warehousing.

Responsibilities

• Design end-to-end enterprise data architectures.
• Lead data platform modernization efforts.
• Mentor technical teams and promote architectural excellence.

Skills

Problem-solving

Analytical skills

Communication

Collaboration

Education

Bachelor's degree in Computer Science or related field

MBA or advanced degree (a plus)

Job description

OPENTEXT - THE INFORMATION COMPANY

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

AI-First. Future-Driven. Human-Centered.

At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.

YOUR IMPACT

As a Principal Data Architect, you will serve as a strategic leader and hands-on expert responsible for designing and evolving OpenText’s enterprise data architecture. You will play a pivotal role in ensuring our data ecosystem is scalable, secure, and optimized for advanced analytics, AI, and business intelligence. Working closely with senior leaders, data teams, and IT, you will guide the development of modern data solutions that align with organizational goals and drive business performance.

WHAT THE ROLE OFFERS

• 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.

WHAT YOU NEED TO SUCCEED

• 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.

OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at [e-mail]. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.