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