Data and Solution Architect

About the role

We are seeking a Data and Solution Architect responsible for defining and governing enterprise data architecture to enable scalable, trustworthy AI solutions in the AI Hub.

Responsibilities

• Designing logical, physical, and semantic data architectures supporting AI, analytics, GenAI, and Agentic AI use cases.
• Establishing AI-ready data models, standards, and semantic structures aligned with enterprise data governance, security, and compliance.
• Supporting data sourcing, profiling, and readiness activities for AI experimentation and deployment phases.
• Architecting integrations across data sources, platforms, and AI services, evaluating new data sources and technologies.
• Leading architectural reviews, mentoring teams, and contributing to standards and communities of practice.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field.
• 8+ years in data architecture, enterprise data platforms, or analytics architecture.
• Experience supporting AI/ML initiatives, data governance, data quality, and federated models.

Skills

• Strong collaboration, communication, and mentoring skills.

Schedule

Onsite with one remote workday per week (approval dependent).