Data Architect

Responsibilities

• Design of scalable data products, canonical data models, data flows, lineage and reusable integration patterns
• Design scalable enterprise and domain-driven data architectures on cloud platforms (Azure, Databricks, Data Lakehouse)
• Define and maintain conceptual, logical, and physical data models to support both operational and analytical consumption
• Establish patterns for data engineering pipelines (ETL/ELT) using Python, Spark, SQL, and Delta Lake
• Architect low-latency data access solutions, event-driven integrations, and robust API endpoints for data delivery

Profile

• Strong data architecture experience on modern cloud data platforms (Azure, Databricks, Data Lakehouse, SQL, APIs, event-driven integration).
• Expert in conceptual, logical and physical data modelling (enterprise and domain-driven modelling).
• Hands-on understanding of data engineering frameworks (Python, Spark, SQL, Delta Lake, ETL/ELT).
• Experience designing APIs, low-latency data access patterns, analytics and operational data consumption
• solutions.
• Strong knowledge of data governance, metadata management, security, access management and information ownership.

Our offer

• Challenging projects and an entrepreneurial culture
• Guidance: we believe in the power of human connections, so we'll assign you a dedicated talent manager who will always have your back
• Career planning and professional development: our learning and development team is here to help you create your Data Consultant career path
• Team events & Learning from peers: as a technical expert, you will be part of our chapters: vibrant communities filled with colleagues who are passionate about a particular area of expertise