Data Architect
Company: VIQU IT
Location: Birmingham, GB
Type: full time
Level: senior
Salary: GBP80000–85000
Posted: 3/30/2026
Job Description
The Role: Data Architect Location: Birmingham (once a week on site) Salary: Up to £85,000 + bonus + generous pension
VIQU have partnered with a leading organisation undergoing a large scale brownfield transformation, replacing an existing data platform with a modern, scalable solution and so are hiring a Data Architect to lead the design of this platform.
This role would suit a pragmatic Data Architect who has previously designed and built a greenfield or brownfield platform with a high level of autonomy. The organisation is currently relatively immature from a data architecture perspective, so the ideal candidate must be comfortable operating with ambiguity, shaping direction and implementing data governance frameworks. Experience within a highly regulated industry would be advantageous.
Key Responsibilities of the Data Architect:
- Own and shape the enterprise data architecture vision, strategy and maturity roadmap. - Design the end-to-end data platform, including data models, data lakes, warehouses and integrations. - Define data standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. - Ensure readiness for AI/ML integration. - Evaluate emerging tools, cloud platforms and analytics technologies. - Work with external partners to establish a “single version of the truth” across the industry and enable secure data sharing. Requirements Proven experience as a Data Architect, having previously shaped or matured an organisation’s data landscape. Experience within a regulated industry (e.g. utilities, finance, defence). Energy/utilities experience (gas, water, power, electricity) would be highly desirable. Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks). Experience working within SAP environments/modules (e.g. S/4 HANA, RISE) would be advantageous. Strong data modelling expertise. Comfortable working through ambiguity and able to communicate architectural decisions at a senior level.