Senior Data, AI Solution Architect

đŸ”„ 0 minutes ago

đŸ‡ȘđŸ‡ș Europe – Remote

⏰ Full Time

🟠 Senior

đŸ’» Solutions Engineer

đŸ‘» Ghost score 21%

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Logo of Commit

Commit

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Commit is a global tech services company founded in 2005, with a presence in Israel, the US, Canada, the UK, and Europe. It specializes in advanced technologies and applications, providing innovative, end-to-end technology solutions, including custom software and IoT platforms. Commit has over 700 multidisciplinary experts who cater to a wide array of companies, from startups to large enterprises, and focuses on areas like Cloud, GenAI, Software, IoT, Big Data, Cybersecurity, and data center migration. Its proprietary Flexible R&D methodology supports clients in transforming their technology visions into high-quality products while reducing costs and improving time-to-market.

📋 Description

‱ Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost ‱ Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance ‱ Lead hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams ‱ Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment

🎯 Requirements

‱ Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field ‱ 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms ‱ 5+ years of strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling ‱ Experience with enterprise security, governance, and compliance ‱ Ability to work effectively with enterprise architects and guiding or regulatory functions to meet organizational standards and control requirements ‱ Enterprise AI enablement experience designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns ‱ BI/analytics architecture experience with Power BI or a similar enterprise BI technology ‱ Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns ‱ Experience with 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 ‱ Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions ‱ Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault ‱ Experience in life sciences, pharmaceuticals, or other regulated industries ‱ Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture

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