Enterprise Data Architect - 24-Month Contract (Hybrid)

Intec Select; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid working arrangement

24-month contract

Job summary

A leading consultancy is seeking an experienced Data Architect for a 24-month contract. The role involves driving the design and delivery of enterprise-wide data architecture, ensuring it aligns with business goals. Key responsibilities include developing data models and maintaining data dictionaries. Candidates should have practical experience in data modelling and be familiar with relational and dimensional techniques, along with cloud platforms like AWS or Azure. A hybrid working arrangement is offered.

Qualifications

• Practical experience in data modelling within large or complex environments.
• Good understanding of relational and dimensional modelling techniques.
• Understanding of data governance, metadata management, and data quality concepts.

Responsibilities

• Develop and maintain enterprise-level conceptual, logical, and physical data models.
• Define and evolve enterprise data architecture standards and best practices.
• Collaborate with product teams to design integrated, end-to-end data flows.
• Maintain enterprise data dictionaries and metadata repositories.
• Provide input into enterprise architecture for consistent outcomes.

Skills

Data modelling

Data modelling tools (Erwin, Solidatus, etc.)

Relational and dimensional modelling techniques

Cloud-based data platforms (AWS, Azure, GCP)

SQL

Data governance

Agile methodologies

Tools

Erwin

Solidatus

Safyr

ABACUS

Archi

Job description

A leading consultancy is seeking an experienced Data Architect for a 24-month contract. The role involves driving the design and delivery of enterprise-wide data architecture, ensuring it aligns with business goals. Key responsibilities include developing data models and maintaining data dictionaries. Candidates should have practical experience in data modelling and be familiar with relational and dimensional techniques, along with cloud platforms like AWS or Azure. A hybrid working arrangement is offered.