Data Architect

Location:

Leeds, UK (3 days in office)

SC Cleared: SC Cleared / SC Eligible

Job Type: Full-Time

Relevant

Experience:

>15 Years

Job Summary

The Data Architect will be responsible for defining, designing, and governing data models, data flows, and data lifecycle processes across multiple integrated systems. The role requires strong expertise in AWS-based solutions, No

SQL data modeling, data governance, and integration between heterogeneous systems. The architect will work collaboratively with technical teams, data governance groups, and senior stakeholders to ensure that data structures, documentation, and processes support business objectives and comply with established governance standards.

Key Responsibilities

* Define logical and physical data models, including No

SQL data structures, to support business and technical requirements.

* Establish and maintain data structures, data flows, and end-to-end documentation across systems.

* Define and document data requirements, inputs, outputs, and lineage using approved data lineage and traceability tools.

* Lead the creation and maintenance of API documentation and data integration specifications.

* Ensure data consistency, integrity, and quality across systems, aligning with established governance frameworks and regulatory standards.

Skills Required

* Strong experience in data architecture with proven expertise in data modeling for both relational and No

SQL databases, including structured and unstructured data environments.

* Hands-on experience with cloud platforms—particularly AWS—and No

SQL technologies such as Dynamo

DB.

* Strong understanding of system integrations, including API-based workflows, data exchange patterns, and documentation of integration specifications.

* Proficiency in designing and managing data integration workflows across diverse platforms.

* Experience with data lineage, metadata, and traceability tools (e.g., Solidatus) or the ability to quickly adopt such tools.

* Solid understanding of data governance principles, data quality processes, lifecycle management, and compliance with privacy and regulatory standards