Data Platform Architect

Harnham; Greater London; Hybrid; GBP 85,000 - 125,000; Full time

Benefits offered by this job

Flexible working arrangements

Career progression

Collaborative culture and exposure

Job summary

Harnham is seeking a Data Platform Architect to shape an enterprise data environment in the cloud, combining hands-on design with architectural leadership to deliver scalable, secure solutions. You will drive DataOps, governance, AI-enabled initiatives, and collaborate with governance, security, and engineering teams to implement modern ETL/ELT patterns and reliable data platforms.

The role offers visibility across the data function, flexible working arrangements, and real opportunity for

Qualifications

• Experience in data platform architecture and cloud data environments.
• Strong understanding of modern data stack technologies.
• Expertise with Google Cloud Platform, BigQuery, dbt, Airflow or similar technologies.
• Experience designing data integration patterns and scalable data solutions.
• Knowledge of data governance, security, privacy, and compliance principles.
• Strong DataOps, CI/CD, testing, and automation practices.
• Experience supporting Data Engineering teams with technical leadership.
• Excellent stakeholder management and communication skills.

Responsibilities

• Define and evolve the architecture of a modern cloud-based data platform.
• Provide technical leadership across data platform and engineering teams.
• Design scalable, secure, and reliable data solutions.
• Support the implementation of architectural patterns and standards.
• Champion DataOps practices including CI/CD, testing, monitoring, and automation.
• Partner with governance, security, and engineering teams to ensure compliance and best practice.
• Guide the implementation of ETL and ELT processes using modern tooling.
• Evaluate emerging technologies and recommend future platform enhancements.
• Support strategic planning and AI-enablement initiatives.

Skills

Data platform architecture

Cloud-based data environments

Modern data stack

GCP BigQuery dbt Airflow

Data governance security

DataOps CI/CD

Technical leadership

Stakeholder management

Tools

dbt

Airflow

BigQuery

GCP

Job description

This is an opportunity for a Data Platform Architect to play a central role in shaping the future of an enterprise data platform. You'll combine hands-on technical expertise with strategic architecture leadership, helping to deliver a scalable, secure, and AI-ready data environment.

The Company

They are a well-established organisation undergoing significant investment in data, analytics, and AI capabilities. Data is a critical strategic asset across the business, and they are continuing to evolve a modern cloud-based platform that supports a wide range of operational and commercial initiatives. This role sits at the centre of that transformation.

The Role

• Define and evolve the architecture of a modern cloud-based data platform
• Provide technical leadership across data platform and engineering teams
• Design scalable, secure, and reliable data solutions
• Support the implementation of architectural patterns and standards
• Champion DataOps practices including CI/CD, testing, monitoring, and automation
• Partner with governance, security, and engineering teams to ensure compliance and best practice
• Guide the implementation of ETL and ELT processes using modern tooling
• Evaluate emerging technologies and recommend future platform enhancements
• Support strategic planning and AI-enablement initiatives

Your Skills & Experience

• Strong experience in data platform architecture and cloud-based data environments
• Excellent understanding of modern data stack technologies
• Expertise with Google Cloud Platform, BigQuery, dbt, Airflow, or similar technologies
• Experience designing data integration patterns and scalable data solutions
• Knowledge of data governance, security, privacy, and compliance principles
• Strong understanding of DataOps, CI/CD, testing, and automation practices
• Experience supporting Data Engineering teams with technical leadership
• Excellent stakeholder management and communication skills

What They Offer

• Competitive salary and benefits package
• Opportunity to influence enterprise-scale data strategy
• Exposure to AI and advanced analytics initiatives
• Collaborative and highly visible role within the data function
• Strong opportunities for professional growth and progression
• Flexible working arrangements