Data Architect

Qualient Technology Solutions UK Limited; Thorpe-on-the-Hill; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A technology solutions company is seeking a Data Architect based in Leeds, UK, to define data models and structures, implement data governance processes, and ensure data integrity across systems. Candidates should have strong experience in both relational and NoSQL databases, proficiency with cloud platforms like AWS, and excellent communication skills for cross-functional collaboration. This is a permanent hybrid position offering opportunities for professional growth and contribution to organizational architecture strategies.

Qualifications

• Strong experience in data architecture, with expertise in data modelling for relational and NoSQL databases.
• Knowledge of system integrations, including API workflows and documentation.
• Solid understanding of data governance principles and compliance with privacy standards.

Responsibilities

• Define and maintain logical and physical data models for business needs.
• Lead creation of API documentation and manage data integration specifications.
• Ensure data integrity and quality across systems while adhering to governance frameworks.

Skills

Data architecture experience

Expertise in data modelling

Hands-on experience with cloud platforms

API-based workflows knowledge

Experience with data lineage tools

Understanding of data governance principles

Analytical thinking

Excellent communication skills

Agile environment adaptability

Tools

AWS

DynamoDB

Solidatus

Job description

Job Description

We at Qualient Technology Solutions are looking for a Data Architect based in Leeds, UK.

Role Title: Data Architect

Role Location: Leeds, UK

Role Type: Permanent (Hybrid)

Key Responsibilities

• Define logical and physical data models, including NoSQL 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.
• Implement and uphold data governance processes, collaborating with central data architecture and governance teams to ensure enterprise alignment.
• Contribute to broader architecture decisions to ensure designs adhere to organisational standards and technical strategy.
• Support and oversee data‑related testing activities by clarifying data models, flows, and requirements for testing teams.
• Conduct impact analysis and support life cycle management of data assets, identifying opportunities for reuse and optimisation.
• Engage with cross‑functional stakeholders— including developers, testers, product and technical architects, senior leadership, and governance forums—to communicate design decisions and secure required approvals.
• Provide guidance, oversight, and direction to data analysts and support other architects as needed.
• Ensure adherence to security, privacy, and compliance requirements, including meeting clearance requirements where applicable.

Skills Required

• Strong experience in data architecture with proven expertise in data modelling for both relational and NoSQL databases, including structured and unstructured data environments.
• Hands‑on experience with cloud platforms—particularly AWS—and NoSQL technologies such as DynamoDB.
• 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, life cycle management, and compliance with privacy and regulatory standards.
• Strong analytical thinking and problem‑solving skills, with the ability to translate business requirements into effective data designs and technical solutions.
• Excellent communication, stakeholder management, and engagement skills, with the ability to collaborate with senior leadership, technical teams, and governance bodies.
• Experience supporting data‑focused testing activities and clarifying data models and flows for testing teams.
• Ability to work effectively across multiple delivery teams in Agile environments and adapt to evolving project needs.