AI-Ready Data Platform Architect

Harnham; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Harnham seeks a Data Platform Architect to own the architecture and standards of a modern data platform supporting AI-ready initiatives. You will work with platform engineers, analytics teams and product stakeholders to design scalable solutions using cloud-native data services.

Key responsibilities include defining standards, guiding Terraform and dbt usage, and driving data governance and quality initiatives across the engineering function.

Qualifications

• Experience designing cloud-based data platforms and data architectures.
• Strong knowledge of Terraform and Infrastructure as Code (IaC).
• Proficient with dbt in ELT workflows and modern data ecosystems.
• Solid understanding of DataOps, CI/CD and engineering best practices.

Responsibilities

• 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.

Skills

Data Platform Architecture

Terraform

dbt

DataOps

CI/CD

Governance & Security

Stakeholder Management

Tools

Terraform

dbt

CI/CD

Job description

Harnham seeks a Data Platform Architect to own the architecture and standards of a modern data platform supporting AI-ready initiatives. You will work with platform engineers, analytics teams and product stakeholders to design scalable solutions using cloud-native data services.

Key responsibilities include defining standards, guiding Terraform and dbt usage, and driving data governance and quality initiatives across the engineering function.