Senior Data Architect

Key Responsibilities • Design and govern data ingestion patterns using the appropriate Azure platforms, services, methods, and guidelines. • Participate in technology selection and define standards for ingestion and integration solutions. • Contribute to core Data Platform architecture, especially ingestion, replication, and medallion-layer design (Bronze/Silver/Gold). • Lead or support Proofs of Concept (PoCs) for Data Ingestion & Replication, validating approaches and tools. • Ensure consistent use of shared technical standards, tools, and platforms across teams. • Align ingestion and replication architecture with Enterprise Architecture (EA) principles and guidelines. • Translate business and data requirements into target data architectures and document them with appropriate architecture and design artifacts. • Initiate, drive, and support continuous improvement activities for data ingestion and replication capabilities. • Support the Data Replication & Ingestion Manager in assessing technical skills and act as a mentor and coach for team members. • Be the go-to expert for ingestion technologies and related architectural topics. • Contribute to the roadmap for Ingestion Platform capabilities and ensure alignment with the overall data strategy. • Collaborate closely with ingestion specialists and data engineers to ensure robust, scalable, and secure solutions. Required Competencies General • Proven experience in data ingestion and/or data integration, ideally in a Data Architect or Lead Engineer role. Technical Skills • Full understanding of Medallion architecture (Bronze/Silver/Gold layers) and its application to modern data platforms. • Deep experience with cloud-based data architectures and DW/BI/Analytics, particularly on Microsoft Azure, including: Azure Data Factory (ADF), Azure Event Hub (AEH), Azure Databricks, Azure Storage, Azure Functions • Strong understanding of ETL/ELT concepts, streaming, and event-driven data pipelines. • Exposure to data modelling and data transformation concepts to ensure consistent, reusable data structures post ingestion. • Expertise in security, authentication, and access control in Azure: Managed Identities (MI) / Service Principals, OAuth 2.0, Azure AD group nesting, Azure Key Vault integration • Hands-on experience in data ingestion, transformation, and historization using: Python, Spark, Scala, SQL