data architect

Описания нет

• Establish and execute departmental targets and KPIs with IT leadership, aligning them with corporate goals
• Oversee the data architecture lifecycle, from platform selection and technical design to delivery of modernization programs
• Manage conceptual, logical, and physical data models and define scalability and performance requirements for mission-critical systems
• Establish enterprise data architecture guidelines, lead technical reviews, and maintain version-controlled architectural artefacts
• Collaborate with IT Governance on metadata management, data quality metrics, and audit compliance
• Evaluate emerging technologies and integrate advanced analytics capabilities into data-driven solutions
• Lead, coach, and motivate the data architecture team; set performance targets, provide feedback, and foster knowledge sharing
• Guide project teams on schema and physical design, data access patterns, and query optimization
• Advise project teams on data product lifecycles, from platform selection through testing and implementation
• Develop Data Architecture onboarding and training programs and extend architectural expertise and services across Group companies

• BSc/MSc in Computer Science, Information Technology, or a related field
• At least 5 years’ experience in data architecture or related roles, including leadership of enterprise initiatives
• Deep expertise in data platform patterns, including lakehouses and data mesh, and advanced modelling techniques
• Proven track record designing scalable, high-availability data architectures and related SLAs
• Demonstrable experience with metadata and Master Data Management, data quality, data warehousing, reporting and data analytics, enterprise data modelling, data governance, data platforms, ETL tools, and data standards
• Demonstrable experience using cloud data technologies to develop enterprise data platforms
• Proven success architecting enterprise data strategies, building ROI-driven business cases, and aligning architecture across multiple business units
• Strong expertise in designing automated data pipelines and navigating data security, privacy frameworks, and regulations
• Demonstrated ability to motivate, coach, and develop a high-performing technical team
• Effective in agile delivery models, with facilitation skills for Architecture Review Boards and stakeholder committees
• Exceptional analytical, problem-solving, and interpersonal communication skills

• Attractive remuneration package
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities