Sr. Architect, Enterprise - Archimedes

About the role

The Sr. Architect, Enterprise serves as the organization's principal architecture leader responsible for defining and governing enterprise technology architecture with a strategic focus on Data, Artificial Intelligence (AI), Enterprise Integration, and Digital Product Architecture.

Responsibilities

• Serve as the organization's principal architecture authority across enterprise applications, data platforms, AI platforms, integrations, cloud services, and digital products.
• Develop and maintain enterprise architecture principles, standards, reference architectures, governance frameworks, and target-state roadmaps.
• Evaluate emerging technologies and develop recommendations supporting enterprise modernization, innovation, scalability, and operational efficiency.
• Drive technology rationalization efforts to reduce complexity, eliminate redundancy, and improve interoperability across enterprise systems.
• Define and govern enterprise data architecture strategy, including lake house architecture, data products, canonical data models, master data management, metadata management, and enterprise data governance.
• Guide the design of enterprise data products supporting analytics, automation, operational reporting, and business intelligence initiatives.
• Evaluate emerging AI technologies and establish enterprise adoption strategies that maximize business value while minimizing operational and regulatory risk.
• Support audit, governance, and compliance activities involving enterprise technology platforms.
• Participate in strategic planning, budgeting, investment prioritization, and technology roadmap development.

Qualifications

• Education: Bachelor’s degree, preferably in the field of Computer Science, Information Systems, or Software Engineering, or equivalent work experience in the field of web development, required.
• Certification/Licenses: AWS Certified Solutions Architect Associate or higher certification preferred.
• Experience: 12+ years of experience in enterprise architecture, solution architecture, software engineering, data architecture, or related disciplines required. 7+ years designing enterprise-scale architectures across application, integration, cloud, and data platforms required. Experience leading enterprise data architecture, lake house architecture, and modern analytics platform initiatives required. Experience supporting AI, machine learning, intelligent automation, and generative AI implementations required. Experience designing enterprise integration architectures utilizing APIs, event-driven systems, and cloud-native services required.
• Strong understanding of modern software engineering, DevOps, DataOps, and platform engineering practices required.
• Demonstrated ability to influence executive stakeholders and drive enterprise-wide technology decisions.
• Established SQL database development skills including design, architecture, and performance required.
• Demonstrated experience collaborating with technical teams to analyze business needs and develop solutions.