Data AI Solution Architect

We are seeking a highly professional, client-facing Data and AI Solution Architect to drive the design, implementation and delivery of advanced data (Databricks-based data lake, data migration and semantic data layer creation) and AI solutions for enterprise clients (Agentic AI for the client, A-SDLC). The ideal candidate will have 10+ years of experience in software architecture, specializing in Azure, MS Fabric, Databricks, data lakes and GenAI technologies, with deep proficiency in Copilot and Claude. Expertise in Python development is essential, alongside a proven track record in architecting scalable, enterprise-wide, distributed applications across cloud environments. 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 Requirements 10+ years of professional experience in data and AI architecture, design and implementation, with Azure and Databricks as a must Expertise in Azure, MS Fabric and Databricks alongside data lakes and distributed scalable applications Proficiency in Python and SQL Knowledge of GenAI, Copilot and Claude as well as AI agent frameworks Background in data governance, analytics, CRM and ERP systems Experience in the manufacturing domain Capability to lead client engagements and deliver strategic advisory on data and AI platform evolution Excellent communication, leadership and stakeholder management skills Understanding of data privacy, security and compliance in cloud-based environments Nice to have Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect) Familiarity with DevOps practices for Data, AI/ML projects Skills in Power BI, Delta Lake and Azure Data Factory Claude professional certification