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 deep proficiency in cloud, data, and GenAI technologies, with 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 Expertise in Azure, MS Fabric, and Databricks Background in data lakes and distributed scalable applications 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 Familiarity with the manufacturing domain Proven 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 Proficient communication skills in English (B2 level or higher) Nice to have 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 Claude's professional certification
