The Associate Director Data Architec - Barcelona, España - AstraZeneca

AstraZeneca

Empresa verificada

Barcelona, España

hace 5 días

Publicado por:

Isabel García

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Supporting the definition of reporting and analytics, data science, digital, and operational business use cases

Supporting 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 DataOps
Support the definition of Information architecture, models, ontologies, taxonomies standards and reusable designs
Also includes managing all architectural alignment tasks during the lifecycle of a project and that they align with Information Standards and Enterprise Models in the Phaseend QA Checkpoints

Typical Accountabilities

Enterprise 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 project
Responsible for ensuring compliance and governing ongoing architecture and technology innovation
Responsible for architecture and technology evangelization, architecture roadmap, and alignment
Responsible for developing and performing architecture, best practice, and technology education
Responsible for Architectural Governance across all DA disciplines

Delivery 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 structures
Providing project level support of Data Models, Metadata, Linage, Taxonomies, Ontologies and Information Architecture Best practice and design
Supports (or leads) in the development of Data Integration architecture and overall Data Integration design of a project
Approves the various artifacts ensuring enforcement of standard enterprise data element names, abbreviations, characteristics, and domains during the lifecycle of a project
Responsible 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 Experience

Essential

Bachelors Degree or equivalent number of years of experience in a Computer Science or Data Management related field
Significant experience and knowledge within domain
The role holder will possess a blend of data architecture, analysis, and engineering skills
Experience in known industry architectural patterns
Understands cloudbased containerization strategies for hybrid cloud environments
Understanding the appropriate data structure and technology based on business use case
Experience in the use of data modeling technologies
Experience in Agile data definition scrums
Experience in the use of metadata cataloguing tools

Desirable

Postgraduate degree in MIS, Data Management
Significant experience in a data architect role with practical examples of designing and providing data engineering blueprints that have been pragmatically and actually implemented