Senior Solution Architecture Lead

Key Responsibilities

• Lead the end-to-end architecture, design, and implementation of enterprise technology solutions.
• Define target-state architectures for AI, analytics, and data warehouse modernization initiatives.
• Ensure solutions align with enterprise architecture standards, security requirements, and business goals.
• Establish architecture principles, standards, and best practices for enterprise systems.
• Lead initiatives integrating Generative AI capabilities into Business Intelligence and Data Warehouse platforms.
• Design scalable AI-enabled architectures supporting advanced analytics and decision-making.
• Evaluate and recommend emerging AI technologies and implementation strategies.
• Collaborate with business and technical teams to identify and deliver AI-driven business solutions.
• Design and optimize: Data Warehouses, Data Lakes, Cloud-native Analytics Platforms, Data Integration Frameworks.
• Develop cloud deployment strategies and Infrastructure-as-Code solutions using Terraform.
• Design and optimize: Data Warehouses, Data Lakes, Cloud-native Analytics Platforms, Data Integration Frameworks.
• Develop cloud deployment strategies and Infrastructure-as-Code solutions using Terraform.
• Design secure and scalable integration architectures across complex enterprise environments.
• Establish best practices for data integration, API management, and platform interoperability.
• Ensure high availability, performance, scalability, and resilience of enterprise systems.
• Lead cross-functional technical teams and provide architecture governance and technical oversight.
• Mentor architects, engineers, and development teams on solution design and implementation best practices.
• Collaborate with executives, business leaders, and technology teams to translate business needs into technical solutions.
• Facilitate architecture reviews, design sessions, and strategic planning initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. Equivalent experience will be considered.
• Minimum 10 years of experience in: Enterprise Architecture, Data Warehousing, Advanced Analytics Platforms, Data Modeling and Solution Design.
• Minimum 3 years of experience designing architectures that integrate Generative AI capabilities into Business Intelligence and Data Warehouse platforms.
• Minimum 5 years of cloud architecture experience using Azure, AWS, or GCP.
• Minimum 5 years of experience leading cross-functional technical teams and driving enterprise technology initiatives.
• Minimum 5 years of experience designing and implementing secure, scalable enterprise integration architectures.