Senior Data Modeller: Enterprise Data Architect

3761 Barclays - BX - UK; Glasgow; On-site; GBP 65,000 - 95,000; Full time

Job summary

Barclays seeks a Senior Data Modeller to design, implement and maintain enterprise data models and architecture standards, enabling high-quality, scalable data solutions that support business outcomes and strategic decision-making.

Based in Glasgow, the role involves translating business requirements into robust data models, collaborating with stakeholders, and guiding data governance, metadata management, and data quality initiatives within an Agile delivery environment.

Qualifications

• Experience in conceptual, logical, and physical data modelling in complex enterprise environments.
• Advanced SQL skills for data profiling, quality assurance and data transformation.
• Understanding of data lineage, ETL processes, and end-to-end data flows.
• Ability to translate business requirements into scalable data models.
• Familiarity with cloud data platforms, preferably AWS.
• Strong stakeholder management and requirements gathering.
• Experience working within Agile delivery environments.

Responsibilities

• Define enterprise data models and architecture standards.
• Collaborate with stakeholders to align data strategy with business goals.
• Produce data architecture designs including data flows and stores.
• Identify common components and resolve design issues.
• Advise on data governance, metadata management and risk controls.

Skills

Conceptual data modelling

Logical data modelling

Physical data modelling

SQL

Data profiling

Data transformation

ETL

Data lineage

Data governance

Metadata management

Stakeholder management

Agile delivery

Tools

AWS

Job description

Barclays seeks a Senior Data Modeller to design, implement and maintain enterprise data models and architecture standards, enabling high-quality, scalable data solutions that support business outcomes and strategic decision-making.

Based in Glasgow, the role involves translating business requirements into robust data models, collaborating with stakeholders, and guiding data governance, metadata management, and data quality initiatives within an Agile delivery environment.