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We are looking for Data Architect - Remote / Telecommute for our client in Edmonton, AB
Job Title: Data Architect - Remote / Telecommute
Job Location: Edmonton, AB
Job Type: Contract
Job Overview:
We are looking for Data Architect - Remote / Telecommute for our client in Edmonton, AB
Job Title: Data Architect - Remote / Telecommute
Job Location: Edmonton, AB
Job Type: Contract
Job Overview:
- Lead the design and delivery of enterprise and solution architecture for data platforms, AI-enabled data products, and data integration solutions across Snowflake, Microsoft Azure, and Cloudera platforms.
- Provide architectural guidance for cloud environments, including AI-enabled data products, agentic frameworks, secure data sharing, and data linkage capabilities.
- Define and govern enterprise data models, architecture standards, and best practices.
- Translate business strategies into scalable, secure, and high-performing data architecture solutions.
- Provide thought leadership in data management, analytics, and AI-driven architecture.
- University degree in business, management, or related discipline with 6 years of Data Architect experience, OR equivalent diploma or certification with 8 10 years of experience as specified.
- Experience dealing with clients and explaining complex data principles clearly.
- Experience defining technical architecture, data integration, and supporting software development and deployment processes.
- Experience designing, implementing, and supporting architecture solutions in complex enterprise environments.
- Experience across multiple architecture domains including business, application, technology, data, security, and privacy.
- Experience modelling complex business processes and translating them into IT systems.
- Experience working in enterprise architecture environments with large-scale systems.
- Experience in cloud-based data platforms and architecture delivery.
- Experience supporting data integration, analytics, and AI-enabled solutions.
- Design and deliver enterprise and solution architecture for data platforms and AI-enabled solutions.
- Support data product development within Data Fabric and Data Mesh frameworks.
- Guide implementation of data linkages, crosswalks, integration patterns, and secure data sharing frameworks.
- Define frameworks for data quality, metadata management, and AI-enabled data assets.
- Develop semantic layers and reusable data models.
- Develop and validate proof-of-concept solutions for data integration and AI use cases.
- Lead workshops and stakeholder sessions to define requirements and business value.
- Provide architectural consultation to leadership and project teams.
- Prepare and deliver presentations to senior stakeholders and steering committees.
- Ensure alignment across diverse stakeholder groups for complex data and AI solutions.
- Define and promote best practices in data governance, integration, security, and data quality.
- Support cloud modernization and platform transformation initiatives.
- Evaluate and recommend emerging AI and agentic technologies.
- Ensure compliance with enterprise security, privacy, and data classification standards.
- Collaborate with data engineers, scientists, and architects for consistent delivery.
- Review solution designs, pipelines, and architectures for scalability and performance.
- Support delivery of scalable data product processes and frameworks.
- Manage tasks, track actions, and escalate risks as needed.
- Coordinate approvals and stakeholder sign-offs.
- Mentor and coach team members in data and AI solutions.
- Promote innovation and data-driven culture across the organization.
- Maintain stakeholder relationships across business and technical teams.
- Deliver architecture designs, data models, and technical recommendations.
- Produce documentation for data linkages, integration patterns, and secure frameworks.
- Provide weekly and monthly status reporting.
- Experience leading workshops and presenting to senior leadership.
- Hands-on experience with Snowflake, Microsoft Azure, and Cloudera platforms.
- Experience in data migration and enterprise data transformation initiatives.
- Experience building reusable data products, APIs, and semantic layers.
- Experience with ML/AI pipelines, MLOps, and advanced analytics solutions.
- Experience designing AI-enabled and agentic frameworks.
- Experience delivering training and enabling teams on data and AI practices.
- Experience with Big Data and Data Fabric/Data Mesh architectures.
- Experience with TOGAF, Gartner, or Zachman frameworks.
- Experience in public sector environments.
- Experience implementing data security, privacy, and governance controls.
- Experience with Responsible AI principles including fairness, bias detection, and explainability.
- Enterprise data architecture design.
- Cloud platforms (Snowflake, Azure, Cloudera).
- Data integration, modeling, and governance.
- AI/ML architecture and agentic frameworks.
- Data security, privacy, and compliance.
- Stakeholder management and communication.
- Data product design and delivery.
- Enterprise architecture frameworks (TOGAF, etc.).
- Problem-solving and analytical thinking.
- Degree, diploma, certificate, or equivalent experience in business, management, or related discipline as per requirement.