Data Architect

The main responsibilities of the position include: Develop conceptual, logical, and physical data models, focusing on design (structure, semantics, constraints, and alignment to business meaning), including key physical design considerations such as indexing and partitioning Define and maintain reference and target data architectures (including standards and reusable patterns) across operational systems, event/streaming platforms, and analytical environments (data warehouse/lakehouse) Drive architectural decision-making and trade-offs (e.g., consistency, performance, scalability, cost, operability, security), and contribute to architecture documentation practices that capture and govern those decisions Support the implementation of the organizational data strategy, including database design standards, data warehouse architecture, standards and guidance, and analytics platform integration Assist with the deployment and extension of the Enterprise Data Catalogue Contribute to the creation and maintenance of architecture processes and documentation standards Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices, supporting teams through design reviews and delivery Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation Govern changes to architectural artefacts and ensure systems conform to established data architecture guidelines Define data flows and integration patterns across applications and services, including operational systems, streams, and analytical platforms (batch and real-time), with clear ownership and information dissemination patterns Main requirements: BSc/MSc in Computer Science, Information Technology or related field. Minimum of 3 years of experience in data modelling, data engineering, database design, or data architecture roles. Strong expertise in conceptual, logical, and physical data modelling, with solid SQL skills to bring designs to life. Proficiency in Python for data-related work (e.g., automation, prototyping, analysis, validation, data quality checks, and tooling around data pipelines/integrations). Experience working with cloud-based data platforms and modern data warehouse or lakehouse architectures Good understanding of software development lifecycles, requirements analysis, and technical design best practices. A collaborative mindset, with the ability to build trusted relationships across business and technical teams. Exposure to data governance, metadata management, and data quality frameworks, with an appreciation for well-managed data. Confidence in advising on ETL/ELT patterns, data integration solutions, and data orchestration technologies. Experience in graph databases, vector databases/semantic search capabilities, feature stores, or related ML/AI data architectures would be considered a plus. A proactive, self-driven professional who thrives in agile environments and enjoys shaping scalable data solutions. Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!