Enterprise Data Architect

As Enterprise Data Architect, you define the target-state data architecture to support growth, compliance, and AI-driven innovation. You will connect core systems across case management, finance, CRM, analytics, and AI platforms, shaping a scalable data ecosystem. You’ll lead modern integration, ensure data quality and security, and align governance with strategic technology decisions. This role sits at the heart of our data transformation journey, partnering with senior leaders to deliver measurable value.

• flexible work arrangements
• private medical insurance
• income protection insurance
• discounted gym membership
• professional funding
• in-person and remote social events

• Define and maintain enterprise data architecture (conceptual, logical, physical)
• Design integration patterns linking case management, finance, CRM, document management, and analytics
• Drive API-led and event-driven integration approaches
• Evaluate and recommend data platform technologies (data warehouses, lakehouses, MDM, API frameworks)
• Design data foundations to support AI/ML initiatives with trustworthy, accessible data
• Collaborate with Data Engineering, Data Governance and Analytics to apply architecture standards
• Define data security and access architecture with governance and security teams
• Produce architecture roadmaps, standards and documentation
• Support CTO and Enterprise Architecture in transformation programs, platform migrations and vendor selection

• Proven experience delivering enterprise data architectures in complex or regulated environments
• Strong knowledge of data platform patterns (data warehouses, data lakes, lakehouses, data mesh)
• Experience with API-led and event-driven integration
• Experience architecting solutions for operational reporting and advanced analytics including AI/ML
• Strong knowledge of Azure-based data platforms and cloud architecture
• Familiarity with Master Data Management (MDM) frameworks and technologies
• Experience integrating multiple business-critical systems in hybrid environments
• Ability to balance short-term needs with long-term architectural strategy and sustainability
• Strong stakeholder management and ability to explain complex concepts to non-technical audiences
• Experience producing architecture standards, roadmaps and governance documentation

• Stakeholder management
• Clear communication
• Strategic thinking
• Azure-based data platforms
• Data warehouses, data lakes, data lakehouses
• Data mesh concepts