Data Architect - Cloud & Analytics - Freelance

Context

This role involves working with modern cloud data platforms and requires strong expertise in data architecture, particularly within Azure and Databricks environments. The position focuses on designing scalable data products and solutions, with an emphasis on analytics, data governance, and supply-chain related business processes.

Missions

• Design and implement data architecture on cloud platforms including Azure, Databricks, Data Lakehouse, SQL, APIs, and event-driven integration.
• Develop conceptual, logical, and physical data models using enterprise and domain-driven approaches.
• Create scalable data products, canonical data models, data flows, lineage, and reusable integration patterns.
• Apply hands-on data engineering skills using Python, Spark, SQL, Delta Lake, ETL/ELT frameworks.
• Design APIs and low-latency data access patterns for analytics and operational data consumption.
• Ensure strong data governance, metadata management, security, access management, and information ownership.
• Support logistics, warehouse, inventory, transport, parts, planning, or supply-chain business processes.
• Define architecture standards, target architectures, and technology roadmaps.
• Utilize AI tools and knowledge of AI capabilities to enhance overall performance and support AI-assisted development.
• Manage stakeholders across business, product management, engineering, and architecture teams.
• Challenge requirements and translate business needs into pragmatic architectural decisions.
• Collaborate and influence in complex cross-functional environments.
• Lead communication, facilitation, and workshops.
• Maintain a delivery-oriented mindset balancing governance, standardization, and business value.
• Coach and mentor teams to drive architectural maturity and alignment.

Tools & Environment

• Azure cloud platform
• Databricks
• Data Lakehouse architecture
• SQL and APIs
• Python, Spark, Delta Lake
• ETL/ELT frameworks
• AI tools for development and performance enhancement
• Data governance and metadata management frameworks

Working Conditions

• English language proficiency required
• Expertise in Azure and Databricks mandatory
• Experience in designing Analytics and Advanced Analytics solutions (batch, event-driven, classical data architecture such as Medallion)
• IT governance experience in a mature context, including architecture review processes