Senior Data Architect

Senior Data Architect

This role involves defining and overseeing the strategic vision and enterprise-wide governance of the organisation's data architecture. The successful candidate will establish enterprise standards for data management and architectural design while ensuring mission-critical data platforms are resilient, performant, and strategically aligned.

Key Responsibilities

• Partner with IT leadership to establish departmental targets and KPIs aligned with corporate goals

• Oversee the end-to-end data architecture lifecycle including platform selection, technical design, and modernization programmes

• Manage conceptual, logical, and physical data models while defining non-functional requirements for mission-critical systems

• Establish enterprise-wide data architecture guidelines and lead technical review sessions

• Collaborate with IT Governance on metadata management, data quality metrics, and audit compliance

• Drive innovation by evaluating emerging technologies and integrating advanced analytics capabilities

• Lead and mentor the data architecture team, setting performance targets and fostering knowledge sharing

• Guide project teams on schema design, physical design choices, data access patterns, and query optimization

• Advise on the complete data product lifecycle from platform selection through implementation

• Develop onboarding and training programmes for data architecture across the organization

Requirements

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

• Minimum 5 years' experience in data architecture or related roles, including enterprise initiatives leadership

• Deep expertise in data-platform patterns such as lakehouses and data mesh

• Proven track record designing scalable, high-availability data architectures with SLAs

• Demonstrated experience in metadata management, master data management, data quality, data warehousing, reporting, enterprise data modelling, data governance, ETL tools, and data standards

• Cloud data technologies experience for building enterprise platforms

• Strong expertise in designing automated data pipelines and navigating data security and privacy frameworks

• Demonstrated leadership ability to motivate and develop technical teams

• Effectiveness in agile delivery models and excellent facilitation skills