Senior Data Architect

The Role:

We are seeking a Senior Data Architect to define the strategic vision, enterprise-wide governance, and next-generation evolution of our overarching data architecture. You will set the enterprise standard for data management, advanced data modeling, and architectural design, enforcing best practices and ensuring our mission-critical data platforms are resilient, performant, and deeply aligned with long-term strategic objectives. 

The main responsibilities of the position include:

• Partner with IT leadership to establish, plan, and execute departmental targets and KPIs in alignment with corporate goals. 

• Oversee the end-to-end data architecture lifecycle, including platform selection, technical design, and the delivery of critical modernization programs. 

• Manage conceptual, logical, and physical data models while defining non-functional requirements (scalability, performance) for mission-critical systems. 

• Establish enterprise-wide data architecture guidelines, lead technical review sessions, and maintain version-controlled architectural artefacts. 

• Collaborate with IT Governance on metadata management, data quality metrics, and audit compliance to ensure adherence to security and enterprise regulations. 

• Drive continuous innovation by evaluating emerging technologies and integrating advanced analytics capabilities to enhance data-driven solutions. 

• Lead, coach, and motivate the data architecture team by setting performance targets, providing regular feedback, and fostering a culture of knowledge sharing. 

• 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. 

• Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation. 

• Develop onboarding and training programs for Data Architecture, and extend architectural expertise and services across all Group companies. 

Main requirements:

• BSc/MSc in Computer Science, Information Technology or related field. 

• At least 5 years’ experience in data-architecture or related roles, including leadership of enterprise initiatives 

• Deep expertise in data-platform patterns (lakehouses, data mesh) and advanced modelling techniques  

• Proven track record in designing scalable, high-availability data architectures and respective SLAs 

• Demonstrable Experience across the following domains: 

• Metadata and Master Data Management, Data Quality, Data Warehousing, Reporting & Data/Analytics. 

• Enterprise data modelling  

• Data Governance 

• Data Platforms  

• ETL Tools  

• Data Standards 

• Demonstrable experience using Cloud data technologies to develop enterprise data platforms 

• Proven success in 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 leadership ability to motivate, coach, and develop a high-performing technical team. 

• Highly effective in agile delivery models, with excellent facilitation skills for Architecture Review Boards and stakeholder committees. 

• Exceptional analytical, problem-solving, and interpersonal communication skills. 

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