Senior Data Architect

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)

• 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.
• 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.

• Strong experience in data architecture with proven expertise in data modelling 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, 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.