Data Architect

• Define, implement and maintain the data architecture in alignment with the overall IS architecture, data governance principles and DBV standards
• Develop and maintain data architecture standards and frameworks
• Collaborate with IS teams and business leaders to define the company's data strategy
• Create and maintain architecture documentation and system maps
• Define and maintain rules, policies and standards related to data availability, integrity, confidentiality, traceability and storage
• Ensure that the data architecture is compliant, performant, sustainable and aligned with business needs
• Establish and oversee data governance, particularly data quality, data stewardship and data lineage
• Coordinate Data teams and ensure the implementation of appropriate governance
• Contribute to technology decisions related to the data lifecycle
• Select, implement and maintain storage solutions, including Data Lakes, Data Warehouses and Cloud platforms
• Design, implement, oversee and maintain the data integration platform
• Design, develop, oversee and maintain the Master Data Management (MDM) solution
• Maintain continuous technology watch

Requirements

• Higher education degree in Computer Science, Data, Information Systems or Engineering (Master's degree / Engineering School / University)
• Significant experience in Data Architecture, data governance and implementation of Cloud analytics platforms
• Experience designing and deploying Data solutions in Azure / Microsoft Fabric environments
• Experience managing cross-functional Data projects and coordinating business and IT teams
• Strong understanding of data quality, security, compliance and data lifecycle management challenges
• Proficiency in data modeling techniques (conceptual, logical and physical)
• Advanced expertise in MDM solutions, data catalogs and/or metadata governance tools
• Strong expertise in Microsoft Fabric, Azure Data Factory, OneLake, Lakehouse, Warehouse, Power BI, pipelines and notebooks
• Experience with ETL/ELT frameworks, data integration and data ingestion (ETL/ELT, APIs, SFTP, Blob Storage)
• Proficiency in Azure Cloud architecture: Azure Data Lake, Azure Synapse, Azure SQL, Azure Functions, Azure AD
• Knowledge of RBAC, RLS, traceability and data quality management
• Proficiency in SQL, Python and BI / Data Visualization tools
• Knowledge of DevOps / DataOps best practices and CI/CD
• Experience in regulated industries with complex compliance requirements
• Strong understanding of Finance processes
• Knowledge of Supply Chain processes
• Knowledge of Digital Marketing use cases
• Ability to translate business needs into sustainable, secure and governed Data solutions

Core Competencies

Demonstrates expertise in Data Architecture, Data Governance, and Cloud Analytics, with a strong focus on compliance, data quality, and lifecycle management. Proficient in designing and implementing data solutions using Azure technologies and MDM practices.

Highest-signal resume keywords

• Data Architecture
• Data Governance
• Azure Data Factory
• Master Data Management (MDM)
• ETL/ELT Frameworks

Hard Skills

• Data Modeling Techniques
• SQL
• Python
• Data Integration
• Data Quality Management
• Cloud Architecture
• Data Lakes
• Data Warehouses
• Data Visualization Tools
• Metadata Governance

Soft Skills

• Collaboration
• Project Management
• Communication

Industry Keywords

• Regulated Industries
• Finance Processes
• Supply Chain Processes
• Digital Marketing

Tools & Technologies

• Microsoft Fabric
• Azure Synapse
• Power BI
• Azure Functions
• Blob Storage