Data Solution Architect

JR United Kingdom; Macclesfield; On-site; GBP 40,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Data Architect, where you will lead the design and implementation of enterprise data platforms. This role requires a blend of data architecture and engineering skills, with a focus on regulatory governance and data lifecycle management. You will collaborate with various stakeholders, utilizing your expertise in cloud technologies and data modelling to drive innovative solutions in the pharmaceutical industry. This is an exciting opportunity to make a significant impact in a dynamic environment that values data-driven decision-making.

Qualifications

• Experience in leading enterprise data platform architecture.
• Understanding of data structures and technologies based on business use cases.

Responsibilities

• Design and implement data engineering blueprints as a Data Architect.
• Work with stakeholders to identify priorities in a matrix environment.

Skills

Data Architecture

Data Engineering

Data Modelling

Information Governance

Cloud Technologies

Data Lifecycle Management

Stakeholder Management

Pharmaceutical Industry Experience

Education

Bachelor's Degree in Computer Science

Equivalent Experience in Data Management

Tools

Metadata Cataloguing Tools

Data Modelling Tools

Enterprise Architecture Tools

Job description

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Minimum Qualifications:

1. Bachelor’s Degree or equivalent experience in a Computer Science or Data Management related field.
2. Experience in leading and delivering enterprise data platform architecture and its practical application.
3. Experience with conceptual and logical data modelling technologies.
4. Experience in defining and working with information and data regulatory governances.
5. Possesses a blend of data/information architecture, analysis, and engineering skills.
6. Familiarity with industry IT architectural patterns and methodologies (e.g., FAIR data principles, Data Mesh).
7. Understanding of appropriate data structures and technologies based on business use cases; familiar with data lifecycles.
8. Practical experience in designing and implementing data engineering/architectural blueprints as a Data Architect.
9. Knowledge of Information and Data Governance frameworks and their application in a commercial setting.
10. Understanding of Data Platforms concepts and cloud-based containerization strategies for hybrid cloud environments.
11. Experience with tooling such as metadata cataloguing, data modelling, and EA tools.
12. Familiarity with Data Mesh approaches (as distinct from Data Fabric or Data Platform).
13. Experience working in a matrix environment with multiple stakeholder groups to identify priorities.
14. Experience working in the Pharmaceutical industry.