Supporting the definition of reporting and analytics, data science, digital, and operational business use casesSupporting the definition of common ingestion, curation, data design, and consumption patterns;Support the definition of modeling data structures for conform and consumption layers in line with DataOpsSupport the definition of Information architecture, models, ontologies, taxonomies standards and reusable designsAlso includes managing all architectural alignment tasks during the lifecycle of a project and that they align with Information Standards and Enterprise Models in the Phase-end QA CheckpointsTypical AccountabilitiesEnterprise Data Accountabilities:Responsible for working within the Enterprise Data Architecture Framework of defining, extending, managing, and benchmarking project against best practices, models (logical, physical, semantic), standards, frameworks, and the overall Blueprint as owned by the Chief Data Architect.Contributes to leaders of the overall Enterprise Data Strategy in partnership the AstraZeneca business functions, solution developments and functional projectResponsible for ensuring compliance and governing ongoing architecture and technology innovationResponsible for architecture and technology evangelization, architecture roadmap, and alignmentResponsible for developing and performing architecture, best practice, and technology educationResponsible for Architectural Governance across all DA disciplinesDelivery Related Accountabilities:Responsible for selecting the correct data architecture patterns to fulfil traditional reporting and analytics, data science, digital, and operational business use cases. This includes:Based on business requirements that determines the different types of data structure types needed for a project such as raw, conform, and consumption data layers. Leverages the structure model types such as 3rd Normal Form, denormalized, and dimensionalized structuresProviding project level support of Data Models, Metadata, Linage, Taxonomies, Ontologies and Information Architecture Best practice and designSupports (or leads) in the development of Data Integration architecture and overall Data Integration design of a projectApproves the various artifacts ensuring enforcement of standard enterprise data element names, abbreviations, characteristics, and domains during the lifecycle of a projectResponsible for approving many of the project deliverables to ensure compliance and reuse within Architectural Standards as defined by the Chief Data Architect.Education, Qualifications, Skills and ExperienceBachelors Degree or equivalent number of years of experience in a Computer Science or Data Management related fieldSignificant experience and knowledge within domainThe role holder will possess a blend of data architecture, analysis, and engineering skillsExperience in known industry architectural patternsUnderstands cloud-based containerization strategies for hybrid cloud environmentsUnderstanding the appropriate data structure and technology based on business use caseExperience in the use of data modeling technologiesExperience in the use of metadata cataloguing toolsSignificant experience in a data architect role with practical examples of designing and providing data engineering blueprints that have been pragmatically and actually implemented#J-18808-Ljbffr
