Ai Platform Architect

• Design and implement end-to-end data architectures, including data integration, storage, and processing
• Support the development of scalable and secure Data & AI platforms
• Contribute to architecture reviews and alignment with enterprise architecture principles
• Provide technical leadership and guidance to data engineering and analytics teams
• Ensure performance, reliability, scalability, and security of data solutions
• Ensure compliance with best practices, governance, and industry standards
• Drive the adoption of company’s standards within the feature design
• Evaluate emerging technologies and recommend tools to enhance Data & AI capabilities
• Translate business needs into technical architecture requirements
• Produce architecture documentation (diagrams, guidelines, specifications)
• Produce high-level and low-level design

• Minimum 7 YoE in data and cloud-based projects
• Proven experience in Data Architecture and modern data platforms
• Strong expertise in Microsoft Azure data services: Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL
• Databricks Lakehouse architecture (Delta Lake, Unity Catalog), including workspace and environment design
• Data ingestion patterns (batch and streaming) using ADF, Event Hub, and Databricks Structured Streaming
• Security and governance: Azure AD, Managed Identities, Key Vault, RBAC, data access controls, and compliance best practices
• CI/CD for data platforms using Azure DevOps / Git
• Infrastructure-as-Code exposure (Bicep / Terraform is a plus)
• Monitoring and operations using Azure Monitor, Log Analytics, and Databricks observability capabilities
• Skilled with Microsoft Azure security and network services
• Very good English skills

Bicep / Terraform is a plus

• Remote working model
• Dynamic and innovation-driven engineering environment
• Full-time job agreement based on b2b
• Private medical care with dental care (covering 70% of costs)
• Multisport card (also for an accompanying person)
• Life insurance