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About the Role

We are seeking an experienced Data Architect to define and govern the data architecture across our technology estate, spanning cloud platforms (AWS and GCP), hosted data centres, and on-premises systems. This role is critical during a period of significant technology transformation, involving mapping, optimizing, and designing data flows, setting and enforcing data architecture standards, and ensuring optimal design and documentation for projects impacting the technology or data landscape. The role reports directly to the Enterprise Architect within the Architecture and Integration team.

Responsibilities

• Produce comprehensive maps of current-state data flows across the full estate (cloud, hosted data centres, and on-premises systems).
• Identify redundancy, latency, and quality issues in existing flows and define target-state designs.
• Define, document, and maintain data architecture standards, patterns, and principles for DMG Media.
• Ensure standards are consistently applied across all projects and platforms.
• Act as the authoritative data architecture voice at the Technical Design Authority (TDA).
• Engage on all projects that fundamentally change the technology or data estate from early discovery through to delivery.
• Ensure new capability, platform, or integration is optimally designed, architecture-reviewed, and documented before build commences.
• Design and govern data architecture across a hybrid estate spanning AWS, GCP, hosted data centres, and legacy on-premises systems.
• Ensure data flows, pipelines, and platform designs work coherently across all environments.
• Lead the data platform architecture across the cloud estate, designing scalable lakehouse patterns, real-time and batch pipeline architectures suitable for AI/ML infrastructure.

Requirements

• Proven experience designing and governing data architectures that span cloud, hosted data centre, and on-premises environments simultaneously.
• Hands-on experience with data services across AWS (Redshift, Glue, S3 / Lake Formation, MSK, RDS) and/or GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer).
• Demonstrable experience producing current-state data flow documentation, identifying inefficiencies and risks in existing pipelines, and designing optimised target-state flows.
• Experience defining, documenting, and enforcing data architecture standards, design patterns, and principles at an enterprise level.
• Prior involvement in architecture governance forums (TDA, ARB, or equivalent) is essential.
• Experience designing AI/ML data infrastructure, including feature stores, model training pipelines, inference serving, and GenAI / RAG architectures.
• Strong knowledge of open table formats (Apache Iceberg, Delta Lake), zone architecture, streaming and batch pipeline patterns, and data quality frameworks.
• Ability to engage early in the project lifecycle, translate business and technical requirements into architecture decisions, and produce governance-quality documentation.
• Ability to operate across the full spectrum of architecture detail — from enterprise-level data strategy and standards through to the specifics of pipeline design and platform configuration.
• Proactive identification of data architecture risk, technical debt, and optimisation opportunities across the estate.
• Strong written and verbal communication skills, with the ability to produce clear, professional architecture documentation and present confidently at governance forums.
• A collaborative approach to design — working with engineering, product, and editorial teams.
• Intellectual rigour and the ability to hold a considered architecture position under challenge, while remaining open to new information.
• Awareness of data governance, data quality, and responsible AI principles, and a commitment to embedding these into architecture decisions.

Skills

• Data Architecture
• Cloud Platforms (AWS, GCP)
• Data Flow Mapping
• Data Governance
• AI/ML Platform Architecture
• Lakehouse Design
• Stakeholder Management
• Technical Documentation
• Digital Media Experience
• Oracle Database Modernisation
• Cloud Migration
• Identity and Consent Management
• GDPR
• Data Mesh
• Data Product Thinking

Location

• DMGT HQ - High Street Kensington, London

Work Type

• Permanent
• Onsite

Experience Level

• Experienced

Education Level

• AWS Certified Data Analytics
• AWS Certified Machine Learning Specialty
• GCP Professional Data Engineer
• GCP ML Engineer

Benefits

• 25 days’ holiday (increasing by 1 per year up to a total of 30)
• Pension plan and life cover
• Discounts on online shopping, dining cards and vouchers
• Access to Employee Assistance Programme
• Onsite gym
• Subsidised canteen
• Onsite nurse and GP clinics

About the Company

• dmg media maintains an unwavering commitment to uncovering the stories that matter most.
• Its brands Daily Mail, The Mail on Sunday, Metro, The i Paper, MailOnline, and Mail+ reach more than 9 million people daily in the UK.
• Globally, dmg media’s brands reach 160 million unique browsers every month across its domains and apps.
• Its global newsroom of journalists, formidable story-getting power, and breadth of content formats, delivers highly engaging, trusted content to loyal and new audiences, 24 hours a day, seven days a week.
• The Mail brand reaches three in five Brits every month and is officially the best-read, most recognised, most engaged newsbrand in the country.
• It is the largest news publisher on TikTok with over 28 million total followers and nearly 45 billion views in the past year.
• www.dmgmedia.co.uk

Equal Opportunity

• We are committed to increasing diversity and maintaining an inclusive workplace culture.
• We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.
• We are Disability Confident Committed.
• Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process.
• Any such information will be held separately to your recruitment application and will not be considered as part of the selection process.