Data Architect

About the role

As a Data Architect you will take a leading role in designing, evolving, and optimizing data architecture for innovative, scalable, and secure solutions. You will collaborate closely with data engineers, analytics teams, business stakeholders, and IT leadership to deliver data strategies that power decision‑making and digital transformation.

Key responsibilities

• Define, evolve, and document the organization’s data architecture aligned with business and IT strategy, including enterprise data models and naming conventions.
• Assess and recommend data technologies such as Data Lake, Lakehouse, Data Mesh, and Data Warehouse based on business needs.
• Define policies and standards for data governance, quality, privacy, cataloging, and lineage, and lead adoption of metadata management tools.
• Architect data integration solutions (ETL/ELT, real‑time and batch pipelines) and ensure interoperability across domains using Data Mesh principles.
• Act as a technical reference, guiding engineering, analytics, and business teams, and promote adoption of data models and best practices.

Required profile

• Bachelor’s degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science or related fields.
• 10+ years of experience in data engineering, with at least 3 years designing cloud‑based data architectures (Azure, AWS, or GCP) and 2 years in data architecture, enterprise modeling, or governance.
• Proven experience leading data model design for Data Warehouse, Data Lake or Lakehouse architectures and participating in multi‑source integration projects.

Required skills

• Data modeling (conceptual, logical, physical) and design of relational, multidimensional and non‑relational structures.
• Architectures: Data Warehouse, Data Lake, Lakehouse, Data Mesh.
• Governance tools: data lineage, quality, privacy, RBAC, metadata management (e.g., Azure Purview, Unity Catalog).
• Platforms: Azure Synapse, Azure Data Lake Gen2, Cosmos DB, Azure Databricks.
• Data integration: Azure Data Factory, API Management, ETL/ELT pipelines.
• Infrastructure as Code: Terraform, Azure DevOps.
• Languages & tools: SQL, Python, JSON, Java, Scala, Git, Sonar.

What we offer

• Stimulating working environment with a unique career path.
• International mobility and internal R&D projects (including Gen‑e2™).
• Knowledge sharing and personalized training via PALO IT Academy.
• Opportunities for entrepreneurship and intrapreneurship.