Chief Data Architect

Andersen is a global software development company with over 18 years of experience supporting businesses worldwide in digital transformation. Headquartered in Poland, it operates development centers across multiple countries including Germany, USA, UK, Lithuania, Hungary, Kazakhstan, Georgia, Azerbaijan, Cyprus, and UAE. The company provides end-to-end IT services such as custom software development, API integration, system architecture, legacy modernization, and long-term support. Andersen harnesses technologies like AI, Machine Learning, Data Science, Big Data, and Visual Technologies to create intelligent and scalable digital products. It serves multiple industries including Healthcare, FinTech, Logistics, Automotive, Manufacturing, E-commerce, Multimedia, and Entertainment with over 3,700 experts in 16+ global locations.

• 4+ years of strong data modelling experience including conceptual, logical, and physical models; 3NF, star, and snowflake schemas.
• Expertise with relational databases such as MS SQL, Oracle, or PostgreSQL and modern cloud data platforms across Azure, AWS, or GCP.
• Experience with ETL/ELT tools such as SSIS, Talend, Informatica, dbt, Synapse, or Data Factory.
• Knowledge of data governance, Master Data Management (MDM), and metadata management.
• Understanding of REST, SOAP, messaging, and event streaming such as Kafka.
• Experience with data modelling tools such as Erwin, PowerDesigner, ArchiMate, Enterprise Architect, dbdiagram.io, or PlantUML.
• Familiarity with Power BI, Tableau, or Qlik.
• English language proficiency at Upper-Intermediate or higher.

• Design and maintain enterprise data architecture, models, standards, and principles.
• Define logical and physical data models aligned with business and technical requirements.
• Design data flows, integration layers, ETL/ELT processes, APIs, and message queues.
• Contribute to data warehouses, data lakes, and analytics platforms.
• Implement data governance across data domains, metadata, quality, and reference data.
• Ensure data protection and GDPR compliance with security and compliance teams.
• Support data strategy and data culture across the organisation.
• Document data structures, standards, and methodologies.
• Provide expert guidance on data-layer design.