Data and AI Solution Architect

Responsibilities

• Lead the end-to-end architecture and delivery of data and AI solutions leveraging Azure, MS Fabric, Databricks, and GenAI platforms
• Design and implement scalable, secure, and innovative data management and analytics platforms, including data lakes and distributed systems
• Integrate advanced AI technologies (Copilot, Claude, GenAI) into business workflows for automation, analytics, and customer engagement
• Collaborate with cross-functional teams (data analysts, product managers, data scientists, engineers, client business and technical stakeholders, including the client's top management) to define requirements and deliver tailored solutions
• Provide technical leadership, governance, mentorship, and architectural guidance across multiple project streams and teams
• Drive data governance, strategy, and process improvements to ensure data accuracy, consistency, security, and compliance
• Document architectural decisions, workflows, and implementation guidelines for enterprise data and AI platforms
• Advise clients on platform decentralization, operations models, and enterprise data product protocols
• Contribute to presales activities, including proposals, SOWs, RFP responses, and business/technical assessments

Languages

Required

• Expertise in Azure, MS Fabric, and Databricks
• Proficiency in Python and SQL
• Knowledge of GenAI, Copilot, and Claude, along with familiarity with AI agent frameworks
• Experience with data governance, analytics, as well as CRM and ERP systems
• Understanding of data privacy, security, and compliance in cloud-based environments

Nice to have

• Excellent communication, leadership, and stakeholder management skills
• Proficient communication skills in English (B2 level or higher)
• Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect)
• Familiarity with DevOps practices for Data and AI/ML projects
• Experience with Power BI, Delta Lake, and Azure Data Factory

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