Data Architect

EUROPEAN DYNAMICS (www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.). The company employs over 1000 engineers, IT experts and consultants. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents.

• University degree in IT or relevant discipline, combined with minimum 12 years of relevant working experience
• At least 2 years of experience in enterprise data architecture and platform assessment, including BI, data and integration environments
• At least 2 years hands-on with enterprise relational databases/DWH, including SQL analysis, troubleshooting and performance optimization
• At least 2 years hands-on with ETL/ELT and data integration tools, developing, adapting and troubleshooting pipelines
• At least 2 years applying data modelling across conceptual, logical and physical layers, including 3NF, Data Vault, dimensional/star-schema approaches
• At least 1 year involved in enterprise data/BI/DWH migrations
• Experience with metadata and cataloguing platforms to govern lineage and ownership (e.g., Collibra, Alation, Azure Purview, OpenLineage)
• Experience with cloud data platforms such as Azure Synapse, Databricks, Microsoft Fabric, Snowflake, Amazon Redshift
• One of the following or an equivalent certification is mandatory: TOGAF, CDMP, DAMA-DMBoK, and ISO data governance standards
• Excellent command of the English language

• Develop and execute the organization’s data strategy and architecture aligned with business objectives
• Translate business requirements into scalable data architecture, models, and technical specifications
• Design and manage data models, metadata, lineage, and data catalogs
• Architect and integrate batch and real-time data pipelines across diverse sources and platforms
• Establish and enforce data governance, quality, security, privacy, and regulatory standards
• Design and deploy scalable cloud and hybrid data platforms, optimizing performance and cost
• Implement data profiling, validation, cleansing, and lifecycle management processes
• Monitor, troubleshoot, and optimize data platforms, pipelines, and infrastructure
• Collaborate with business leaders, engineers, and data scientists to deliver data solutions that meet organizational needs
• Lead data architecture initiatives and mentor teams on standards, tools, and best practices
• Evaluate emerging data, cloud, big data, and AI technologies and recommend relevant solutions

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