Senior Data Analytics & AI Solution Architect

About the Position

We are looking for a Senior Data Analytics & AI Solution Architect to join our global enterprise organization, focusing on scalable and secure data, analytics, and AI solutions within a Microsoft-first ecosystem.

Our Customer

A global enterprise organization building modern data, analytics, and AI solutions within a Microsoft-first ecosystem. The company focuses on scalable and secure enterprise platforms that support business intelligence and digital transformation.

Responsibilities

• Define and drive architecture for enterprise Data, Analytics, and AI solutions across multiple initiatives
• Transform business requirements into scalable, secure, and maintainable technical architectures
• Design solution blueprints, integration approaches, and implementation strategies
• Support delivery teams throughout the full solution lifecycle, from discovery and prototyping to production deployment
• Conduct architecture, design, and code reviews to ensure solution quality and alignment with business goals
• Provide hands-on technical leadership and guidance to engineering teams
• Ensure solutions meet requirements for quality, scalability, security, maintainability, operational readiness, and cost efficiency
• Ensure security, governance, and compliance standards are incorporated into solution designs
• Collaborate with business stakeholders, architects, engineering teams, and governance functions to drive successful delivery
• Participate in troubleshooting, risk assessment, estimation, and technical decision-making activities

Requirements

• 15+ years of experience in IT, including 10+ years in Solution Architecture roles focused on enterprise Data, Analytics, and AI platforms
• 10+ years of hands-on experience with Azure-based data solutions, including Azure Data Factory, Databricks, Azure Data Lake, SQL, dimensional modeling, ETL/ELT processes, and data orchestration
• Strong expertise in Power BI architecture, including semantic models, DAX, Power Query, governance, workspace management, performance optimization, and enterprise reporting solutions
• Proven experience delivering end-to-end architecture solutions, including solution design, prototyping, implementation support, technical reviews, and production readiness activities
• Strong knowledge of enterprise security, governance, compliance, and architecture best practices
• Ability to translate complex business challenges into practical and delivery-focused technical solutions
• Experience providing technical leadership in distributed enterprise environments
• Experience working with distributed teams and external partners in enterprise delivery environments
• Strong troubleshooting, analytical, estimation, decision-making, and risk management skills
• Ability to work effectively with enterprise architects, business stakeholders, and cross-functional teams
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
• Excellent communication skills in English

Nice to Have

• Experience with enterprise AI solutions and Microsoft AI services, including Azure OpenAI, Azure AI Search, AI Foundry, Copilot Studio, Semantic Kernel, and Prompt Flow
• Experience with Microsoft Fabric and Power Platform governance practices
• Experience with Azure DevOps, GitHub Enterprise, and CI/CD implementation for Data, Analytics, or AI platforms
• Knowledge of Microsoft security and governance services such as Entra, Purview, and Key Vault
• Experience working in regulated industries, including life sciences, healthcare, or pharmaceuticals
• Microsoft certifications related to Azure, Data, Analytics, Power BI, or AI Architecture
• Experience with Python, data observability, and monitoring solutions

We Offer

• Remote work opportunity
• Full-time position

About the Company

A global enterprise organization building modern data, analytics, and AI solutions within a Microsoft-first ecosystem. The company focuses on scalable and secure enterprise platforms that support business intelligence and digital transformation.