Enterprise Data Architect

Job description

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experienc • e15-18+ years of experience in data architecture, enterprise architecture, data engineering, analytics, or cloud platform architecture • .10+ years in a senior architect or enterprise architect role leading complex data platform transformation initiatives • .Proven experience designing enterprise-scale data platforms across on-premises, hybrid, and Azure cloud environments • .Strong experience in data platform modernization, tool rationalization, cloud migration, governance, and operating model transformation • .Experience in regulated industries such as banking, financial services, insurance, or other compliance-heavy environments • .Strong stakeholder management, architecture governance, technical leadership, and mentoring capabilities • .Data Engineering: SQL, Python, ETL/ELT, APIs, batch processing, data pipelines, data quality, metadata, and lineage • .Cloud & Azure: Azure Landing Zone, Azure Monitor, Application Insights, Azure Resource Graph, Azure Policy, Azure Automation, Logic Apps, Functions, and Azure DevOps • .Databases: Oracle, Oracle ExaCC, SQL Server, PostgreSQL, MySQL, and MongoDB • .Analytics & BI: Power BI, MicroStrategy, BusinessObjects, QlikView, Qlik Sense, and enterprise reporting platforms • .Data Science & AI/ML: Dataiku, AI/ML workflows, predictive analytics, model lifecycle, MLOps concepts, and Agentic AI enablement • .DevOps & Platform Engineering: GitLab, Jenkins, Terraform, Backstage IDP, CI/CD pipelines, Nexus, Azure Artifacts, and Azure Container Registry • .Security & Governance: RBAC, encryption, access control, GDPR, auditability, policy-as-code, compliance evidence, and secure-by-design architecture • .Observability: ELK/Elastic Stack, OpenTelemetry, Azure Monitor, AIOps, Kyndryl Bridge, Zabbix, and ServiceNow integration • .HOPEX enterprise architecture tool experienc e Preferred Technical and Professional Experien • ceBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or related disciplin • e.Certifications such as TOGAF, Azure Solutions Architect, Azure Data Engineer, Azure AI Engineer, or equivalent are preferre • d.Exposure to regulatory requirements such as GDPR, CSSF, ECB, SWIFT, audit controls, and operational resilience is desirabl e.