Senior Consultant

Job Title: Senior Consultant
Location: TRIL GTC Chennai 
GCL: D3

Job Description / Capsule

The Data Architect will input into the design of data frameworks, solutions and applications that are designed, and developed for enterprise and functional purposes. This includes defining, leveraging and extending standard AstraZeneca reference architectures, data models and design patterns. This includes:

• Drive-in project common ingestion, curation, data design, and consumption patterns feeding back to Enterprise Architecture

• Drive-in project modelling data structures for conforming and consumption layers in line with DataOps

• Drive-in project Information architecture, models, ontologies and taxonomies standards and reusable designs f

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 Phase-end QA Checkpoints.

Typical Accountabilities

Enterprise Data Accountabilities:

• Accountable for the alignment and evolution of the AZ information Architecture, Data Model, Taxonomy, Glossary and Ontologies and the application of those models in solution design and implementation

• 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 Data Architecture 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:

• 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 structures

• Providing project-level support of Data Models, Metadata, Linage, Taxonomies, Ontologies and Information Architecture Best practice and design

• 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.

Skills and Capabilities

Essential

• architecture, analysis, and engineering skills

• Good understanding of at least one business area from either Supply Chain or manufacturing.

• Experience in the use of conceptual and logical data modelling technologies

• Experience building conformed dimensions and understand the principles of reusable components and one version of the truth.

• Experience in the use of metadata cataloguing tools

• Strong undergraduate degree in Computer Science or Data Management

• 4-6 years experience in a data architect role.

Desirable

• Post-graduate degree in MIS, Data Management

• Understanding of FAIR data management principles

• Can provide practical examples of designing and documenting data engineering blueprints that have been pragmatically and actually implemented

• Experience of running a data architecture governance function

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.