Senior Data & AI Solution Architect

Posted Oct 21

This is a fully remote position, open to applicants in Belarus.

📋 Description

• Take ownership of the complete solution architecture for data, analytics, and AI use cases, ensuring accountability for design quality, security, scalability, supportability, and cost efficiency.

• Convert business requirements into actionable technical designs, target architectures, integration patterns, and implementation guidance that is ready for delivery.

• Lead hands-on efforts in prototyping, conducting architecture reviews, troubleshooting, performing code/design reviews, and providing technical support to delivery teams.

• Guarantee security, governance, compliance, and operational readiness from the design phase through to production deployment.


⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.

• Over 10 years of IT experience, including more than 5 years in senior solution architecture positions focused on enterprise data, analytics, and AI platforms.

• More than 5 years of strong practical experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling.

• Familiarity with enterprise security, governance, and compliance standards.

• Proven ability to collaborate effectively with enterprise architects and regulatory functions to adhere to organizational standards and control requirements.

• Experience in designing solutions utilizing Azure OpenAI and retrieval-augmented generation (RAG) patterns.

• Background in BI/analytics architecture with Power BI or a comparable enterprise BI technology.

• Extensive hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns is a plus.

• Knowledge of Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns is an advantage.

• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions is beneficial.

• Familiarity with Microsoft security and governance services like Microsoft Entra, Purview, and Key Vault is advantageous.

• Background in life sciences, pharmaceuticals, or other regulated sectors is a plus.

• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture are beneficial.


🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and training.

• Flexible work arrangements.

• Collaborative and inclusive work environment.

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