Data Architect

Your tasks:

• 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.

Requirements

• A university degree in IT or a 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 of hands-on experience with enterprise relational databases/DWH, including SQL analysis, troubleshooting, and performance optimization;
• At least 2 years of hands-on experience with ETL/ELT and data integration tools, developing, adapting, and troubleshooting pipelines;
• At least 2 years of experience applying data modeling across conceptual, logical, and physical layers, including 3NF, Data Vault, dimensional/star-schema approaches;
• At least 1 year of experience 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 would be mandatory: TOGAF, CDMP, DAMA-DMBoK, and ISO data governance standards;
• Excellent command of the English language.