About the role
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
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