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# Data Architect

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £90,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Data Systems, Metadata, DataOps, Infrastructure as Code (IaC), Data Lineage, Data Management, Terraform
- **Published:** September 16, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-architect/57348505

## About the Role

You will bring strong capability in:

 * Data Platform Architecture or Data Solutions Architecture experience within modern cloud environments
 * Strong experience with Terraform and Infrastructure as Code (IaC)
 * Commercial experience using dbt within modern ELT ecosystems
 * Strong understanding of DataOps, CI/CD and engineering best practices
 * Experience working with governance, security, privacy or risk functions
 * Excellent stakeholder management skills with the ability to influence, coach and educate technical team

## Description

This is a fantastic opportunity to join a large-scale consumer-focused digital organisation, taking ownership of the architectural direction of a modern data platform that sits at the heart of business decision-making, digital growth and AI innovation., You will take ownership of data platform architecture, standards and solution design across a growing engineering function. Working closely with platform engineers, analytics engineers, product managers, governance teams and senior stakeholders, you will help ensure data is scalable, trusted and ready to support AI-driven initiatives.
Key responsibilities include:

 * Designing and evolving the organisation's cloud-based data platform architecture
 * Assessing and recommending new technologies, tools and data solutions across the business
 * Defining architectural standards, best practices and reusable patterns across engineering teams
 * Supporting data governance, security, metadata and data quality initiatives
 * Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices
 * Partnering with stakeholders to understand requirements and translate them into scalable technical solutions
 * Driving improvements around data lineage, observability, modelling standards and platform governance
 * Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities


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