Data Architect - Remote / Telecommute

• 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.

Requirement/Must Have:

• 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:

• 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.

Responsibilities:

• 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.

Should Have:

• 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.

Skills:

• 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.

Qualification And Education:

• Degree, diploma, certificate, or equivalent experience in business, management, or related discipline as per requirement.