The Associate Principal Data Architect

.Drive in project design pattern in reporting and analytics, data science, digital, and operational business use casesDrive in project common ingestion, curation, data design, and consumption patterns feeding back to EADrive in project modeling data structures for conform and consumption layers in line with DataOpsDrive in project Information architecture, models, ontologies and 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 :Expected to work within the Enterprise Data Architecture Framework of and contribute to 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.Provides Exception, Deviation and Mitigation updates where practical implementations require enterprise adjustments and modifications to the overall frameworkResponsible 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:Understand and applies, based on business requirements, 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 designLeads 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