Job Description: Data Systems Architect

We are seeking an experienced Data Systems Architect to play a key role in the modernisation of critical business data processes.

About the Role

The Data Systems Architect will focus on system integration, data flow optimisation, and architectural governance to support a large-scale transformation initiative. This position will involve working on the decommissioning of legacy platforms (including Siebel) and designing a robust income management system, ensuring effective data structures and seamless system interoperability.

Key Responsibilities

Define and document data architecture and system integrations to improve efficiency and reliability.
Oversee the transition from legacy systems, ensuring data integrity and minimal disruption to business processes.
Develop and maintain scalable cloud-based data solutions (Azure preferred).
Map and document system interfaces, including data flows, integration points, and dependencies.
Ensure strong data governance practises are implemented, working closely with compliance and security teams.
Evaluate and recommend technical solutions that balance performance, resilience, and business needs.
Collaborate with internal teams and third-party providers to align technical strategy with business objectives.

Required Skills & Experience

Technical Expertise

Strong knowledge of data architecture and system integration principles.
Experience designing and implementing cloud-based data solutions (Azure preferred).
Proven ability to map and document system interfaces, technical processes, and data flows.
Knowledge of enterprise data management, including governance, compliance, and security standards.
Understanding of CRM, finance, and case management systems, and their role in enterprise data ecosystems.
Ability to assess existing IT systems and define scalable, future-proof solutions.
Strong documentation skills, ensuring clarity and consistency for technical teams.

Professional Experience

Previous experience leading data-driven system transformation projects.
Background in data governance and compliance, ensuring security and operational integrity.
Ability to engage with senior business stakeholders, translating technical solutions into business impact.
Experience working with API integrations, ETL processes, and enterprise data pipelines