Employer description & source details
Define target-state data architectures, including data lakehouse, data warehouse, streaming, and Master Data Management (MDM) solutions. Lead architecture workstreams across pre-sales and delivery, including discovery workshops, current-state assessments, solution blueprints, and effort estimation. Design conceptual, logical, and physical data models and integration patterns for batch, micro-batch, and real-time data pipelines. Establish and implement data governance frameworks covering data quality, lineage, cataloguing, security, and access control. Guide engineering teams on implementation standards, architecture reviews, code reviews, and data platform performance optimization. Design data foundations for AI/ML and Generative AI use cases, including feature stores, vector databases, and Retrieval-Augmented Generation (RAG)-ready data pipelines. Act as a trusted technical advisor to client Chief Data Officers (CDOs), heads of data, and enterprise architects. Present and justify architecture decisions to technical and executive stakeholders. Develop reusable accelerators, reference architectures, and data practice standards. 8+ years of experience in data engineering or data platform roles, including at least 4 years as a Data Architect on enterprise-scale programmes. Proven experience designing and delivering end-to-end cloud data platforms covering ingestion, storage, transformation, serving, and consumption. Strong expertise in data modelling methodologies, including Kimball/dimensional modelling, Data Vault, and Third Normal Form (3NF). Advanced SQL skills and experience with distributed data processing technologies such as Apache Spark. Experience with modern lakehouse table formats, including Delta Lake, Apache Iceberg, or Apache Hudi. Strong understanding of da
Extracted skills: python, sql, azure, sales, security