Enterprise Data Architect: Cloud, Databricks & Big Data

4Square Recruitment Ltd; Worcester; Hybrid; GBP 72,000 - 88,000; Full time

Benefits offered by this job

Bonus opportunity

Company pension

Life assurance

Critical illness cover

25 days holiday

Holiday purchase scheme

Flexible working

Wellbeing support

Employee discounts

Job summary

4Square Recruitment Ltd is seeking an experienced Data Architect to lead enterprise data architecture during a major data, cloud and platform transformation. The role focuses on scalable, secure, and fit-for-purpose data across operational, analytical and customer-facing use cases and involves modern cloud platforms.

Responsibilities include designing data models, shaping Databricks-based platforms, driving migration from legacy systems, and setting governance with metadata, lineage and data

Qualifications

• Strong enterprise data architecture experience.
• Databricks experience – essential.
• Advanced data modelling across conceptual, logical and physical layers.

Responsibilities

• Define enterprise data architecture principles and roadmaps.
• Design and maintain data models (conceptual, logical, physical).
• Shape modern cloud-based data platforms and integration architecture.
• Provide technical direction and mentoring to data and engineering teams.
• Support governance with metadata, lineage, data quality and privacy.

Skills

Enterprise data architecture

Stakeholder management

Communication

Mentoring teams

Data governance

Tools

Databricks

Azure data services

Databricks Unity Catalog

Job description

4Square Recruitment Ltd is seeking an experienced Data Architect to lead enterprise data architecture during a major data, cloud and platform transformation. The role focuses on scalable, secure, and fit-for-purpose data across operational, analytical and customer-facing use cases and involves modern cloud platforms.

Responsibilities include designing data models, shaping Databricks-based platforms, driving migration from legacy systems, and setting governance with metadata, lineage and data