Job Description, Responsibilities & Requirements
About the Position
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
We Offer
- Remote work in Azerbaijan
- Opportunity to work with cutting-edge technologies in data and AI
- Collaborative and dynamic work environment
About the Company
[Company description if present]