Data Architect

Key Responsibilities Define and govern end-to-end data architecture on Azure, including standards and patterns for ingestion, integration, transformation, and Medallion architecture Guide teams on ETL/ELT, streaming, integration approaches, and the design and development of Data Products Drive modernization of legacy solutions into modern data platform architectures, including transition from MSBI-based reporting (SSIS, SSAS) to Data Products Contribute to technology selection and evolution of the Azure data platform, ensuring alignment with security, compliance, and enterprise architecture standards Provide architectural oversight of supplier-managed SaaS/COTS applications, including onboarding, security and access model reviews, technical validation, and collaboration with suppliers Support upgrades, troubleshooting, and technical discussions across application, infrastructure, server, network, and integration topics when required Support external audits, including review of required processes, controls, and supplier SOC reports Support implementation of secure access patterns including Single Sign-On Required Competencies Proven experience as a Senior Data Architect or in a similar senior architecture role Strong experience with cloud-based data platforms, preferably on Azure Experience working with external suppliers and within mixed delivery models Technical Skills Strong experience with Azure data platform services such as Azure Data Factory, Azure Databricks, Azure Event Hub, Azure Storage, and Azure Functions Strong knowledge of ETL/ELT, streaming, data integration patterns, Medallion architecture, and Data Product design Proficiency in Python, Spark, and SQL Strong understanding of Azure security, including Managed Identities, Service Principals, OAuth 2.0, Azure AD / Entra ID, Key Vault, and Single Sign-On Experience with SaaS/COTS solutions, including onboarding, security reviews, access rights, and audit/compliance topics such as SOC reports and financial controls Nice to have: Power BI, API Gateways, enterprise data models