data and AI solution architect enterprise-платформ
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306 355 ₽
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описание
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.
задачи
Lead the end-to-end architecture and delivery of data and AI solutions using Azure, MS Fabric, Databricks, and GenAI platforms
Design and implement scalable, secure data management and analytics platforms, including data lakes and distributed systems
Integrate Copilot, Claude, and GenAI into business workflows for automation, analytics, and customer engagement
Collaborate with cross-functional teams and client stakeholders to define requirements and deliver tailored solutions
Provide technical leadership, governance, mentorship, and architectural guidance across 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, operating models, and enterprise data product protocols
Contribute to presales proposals, SOWs, RFP responses, and business and technical assessments
требования
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, and familiarity with AI agent frameworks
Experience with data governance, analytics, CRM, and ERP systems
Familiarity with the manufacturing domain
Proven ability to lead client engagements and advise strategically on data and AI platform evolution
Excellent communication, leadership, and stakeholder management skills
Understanding of data privacy, security, and compliance in cloud environments
English proficiency at B2 level or higher
Будет плюсом: Azure certifications, familiarity with DevOps practices for Data and AI/ML projects, experience with Power BI, Delta Lake, and Azure Data Factory, Claude's professional certification