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Shaping the Future with Technology. At ZegaSoftware, we specialize in turning challenges into successes with our proven technology solutions. Our commitment to innovation and excellence ensures that your business operations are optimized and future-ready. Discover how we can help drive your strategic growth.
Job Responsibility:
Architectural Oversight: Own and evolve the overall solution architecture, including application, data, integration, and security layers, ensuring alignment with Wolseley’s IT policies and cloud infrastructure (Oracle/Azure)
Data Architecture Leadership: Design and maintain the future-state data architecture, supporting automated quote intake, product resolution, pricing, stock availability, and order fulfilment
Integration and Data Flow: Architect seamless integration between Wolseley APIs (product, pricing, stock, order submission) and the application’s operational store, catalogue index, and audit logs
Governance and Compliance: Define and enforce data governance frameworks, retention schedules, and compliance (GDPR, auditability), minimising PII and ensuring secure handling of sensitive data
AI/ML Enablement: Enable ingestion and transformation of historical quote/order data for AI advisory features, product recommendations, and pricing guardrails. Collaborate with AI/ML engineers to support NLP-based product resolution and audit-driven enhancements
Operational Readiness: Provide documentation, training, and handover artefacts for operational support, monitoring, and troubleshooting. Ensure all features delivered are tested and meet acceptance criteria
Stakeholder Engagement: Work closely with business, sales, and IT stakeholders to clarify requirements, facilitate decision-making, and support pilot deployment and evaluation
Requirements:
Proven Experience: Demonstrable track record as a Solution and Data Architect in large-scale, cloud-based solutions (preferably B2B quoting domains)
Cloud Platforms: Expertise in Oracle Cloud and/or Microsoft Azure, including data warehousing, integration, and analytics
API Integration: Deep understanding of secure API design, authentication (OAuth2, SSO), and data flow between distributed systems
Data Modelling: Strong skills in relational and NoSQL modelling, catalogue indexing, and operational data stores (PostgreSQL, Elastic/OpenSearch, etc.)
AI/ML Familiarity: Experience supporting AI/ML initiatives, including NLP, product matching, and audit-driven enhancements
Compliance & Security: Knowledge of GDPR, data retention, encryption, and audit requirements for enterprise data solutions
Tools: Familiarity with Power Platform, observability stacks (OpenTelemetry, Application Insights, Grafana), and CI/CD pipelines (Azure DevOps, GitHub Actions, Terraform)
Nice to have:
Excellent communication and stakeholder engagement skills
Analytical problem-solving and attention to detail
Ability to work collaboratively in agile, cross-functional teams
Experience with data governance in regulated environments