Senior Software Architect, Data and Automation

What you'll do

• Define and govern the architecture of the enterprise data governance ecosystem including metadata management and data lineage.
• Design and implement enterprise GenAI solutions and autonomous agent workflows for data management processes.
• Lead the semantic technology strategy for enterprise knowledge management and knowledge graph architecture.
• Architect intelligent data quality platforms to ensure consistency across various technical platforms.
• Serve as the technical authority for AI-enabled data governance and responsible AI frameworks.
• Develop application blueprints that reflect enterprise business logic and define necessary components, interfaces, and tools.
• Provide technical guidance to development teams regarding integration, conversion activities, and platform mapping.

What we're looking for

• A bachelor's degree is required, though a combination of education, certifications, and experience may be considered in lieu of a degree.
• A Master's degree, PhD, or professional certifications are desirable.
• Candidates should have at least 8 years of industry-relevant experience.
• Experience in designing and governing enterprise data governance ecosystems including metadata management, data quality, and lineage is required.
• Expertise in GenAI architecture, agentic workflow platforms, and responsible AI frameworks is required.
• Knowledge of semantic technology strategy for enterprise knowledge management and knowledge graphs is required.
• Proficiency in API Design, Enterprise Architecture Frameworks, and Service Oriented Architecture is preferred.
• Experience with Machine Learning (ML) and Risk Assessments is preferred.