Data Architect

Data Architect

Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
D

At a Glance

  • Tasks: Design and optimise data architecture across cloud and on-premises systems.
  • Company: Join a leading media company transforming its technology landscape.
  • Benefits: Enjoy 25 days holiday, pension plan, gym access, and more perks.
  • Other info: Collaborative culture with opportunities for personal and professional growth.
  • Why this job: Be at the forefront of data innovation in a dynamic environment.
  • Qualifications: Experience in data architecture and multi-cloud platforms required.

The predicted salary is between 72000 - 88000 £ per year.

Location: DMGT HQ - High Street Kensington, London

Position: Permanent

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: the successful candidate will map, optimise, and design data flows across a complex multi-environment estate; set and enforce data architecture standards; ensure that every project making a material change to our technology or data landscape is optimally designed and documented; and represent those standards at the Technical Design Authority (TDA). The role sits within the Architecture and Integration team and reports directly to the Enterprise Architect.

Main Responsibilities

  • Data Flow Mapping & Optimisation: Produce comprehensive, accurate maps of current-state data flows across the full estate — cloud (AWS, GCP), hosted data centres, and on-premises systems. Identify redundancy, latency, and quality issues in existing flows and define target-state designs that are efficient, resilient, and fit for a cloud-first future.
  • Data Architecture Standards & Governance: Define, document, and maintain data architecture standards, patterns, and principles for DMG Media. Ensure these standards are consistently applied across all projects and platforms, and act as the authoritative data architecture voice at the Technical Design Authority (TDA).
  • Project Engagement & Design Assurance: Be engaged on all projects that fundamentally change the technology or data estate — from early discovery through to delivery. Ensure that any new capability, platform, or integration is optimally designed, architecture-reviewed, and documented before build commences.
  • Multi-Environment Architecture: Design and govern data architecture across a hybrid estate that spans AWS, GCP, hosted data centres, and legacy on-premises systems. Ensure data flows, pipelines, and platform designs work coherently across all environments, with clear ownership of cross-environment patterns and data contracts.
  • Cloud Platform Design: Lead the data platform architecture across the cloud estate, designing scalable lakehouse patterns, real-time and batch pipeline architectures suitable for AI/ML infrastructure.

Person Specification

  • Data architecture expertise across multi-environment estates: proven experience designing and governing data architectures that span cloud, hosted data centre, and on-premises environments simultaneously — not cloud-only.
  • Multi-cloud platform depth (AWS and GCP): hands-on experience with data services across one or both of AWS (Redshift, Glue, S3 / Lake Formation, MSK, RDS) and GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer).
  • Data flow mapping and optimisation: demonstrable experience producing current-state data flow documentation, identifying inefficiencies and risks in existing pipelines, and designing optimised target-state flows. Comfortable working at both the conceptual and technical levels.
  • Data architecture standards and governance: 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) essential.
  • AI and ML platform architecture: experience designing AI/ML data infrastructure — including feature stores, model training pipelines, inference serving, and GenAI / RAG architectures grounded in proprietary content.
  • Lakehouse and modern data platform design: strong knowledge of open table formats (Apache Iceberg, Delta Lake), zone architecture (landing, cleansed, curated), streaming and batch pipeline patterns, and data quality frameworks.
  • Project engagement and design assurance: able to engage early in the project lifecycle, translate business and technical requirements into architecture decisions, and produce governance-quality documentation (HLDs, LLDs, data flow diagrams, integration designs).
  • Strong stakeholder management: ability to communicate clearly with both technical teams and senior non-technical stakeholders; able to translate complex data architecture concepts into measurable business outcomes and defensible design decisions.

Required Competencies

  • 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, including existing flows.
  • 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 to arrive at practical, implementable architecture decisions rather than ideal-state designs that cannot be delivered.
  • 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 by design rather than retrospectively.

Preferred Skills

  • Experience in digital media, news publishing, or a high-traffic consumer internet business — familiarity with editorial workflows, CMS platforms, real-time audience analytics, and subscription platform data is highly valued.
  • Oracle database modernisation experience — assessment of RAC/Data Guard estates and migration to cloud-managed alternatives (RDS, Aurora PostgreSQL) is directly relevant to live workstreams at DMG Media.
  • Cloud migration programme experience — landing zone design, application workload assessment, and migration sequencing across a complex on-premises estate.
  • Knowledge of identity, consent management, and GDPR-compliant data architecture patterns in a consumer media context.
  • AWS Certified Data Analytics, AWS Certified Machine Learning Specialty, or GCP Professional Data Engineer / ML Engineer certification.
  • Experience with data mesh or data product thinking at enterprise scale.

The Maturity of the Data Architecture across the organisation will be the primary measure of success, however more detailed performance of the role will be assessed / measured by:

  • Development of a Data platform road map and demonstrable execution.
  • Completeness and accuracy of current-state data flow maps across cloud, hosted, and on-premises environments, delivered within agreed timescales.
  • Adoption of data architecture standards across all new and materially changed platforms and projects — measured through TDA review outcomes.
  • Quality and timeliness of architecture documentation produced for projects engaging the role — assessed through peer review and project delivery outcomes.
  • Successful delivery of target-state data flow designs for priority programmes.
  • Effectiveness of data architecture representation at the Technical Design Authority — evidenced by decisions made, standards enforced, and risks identified at design stage.

Package Description

Our benefits package increases the longer you’ve been with us. Here’s what to expect:

  • 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, and access to our Employee Assistance Programme
  • Onsite gym, subsidised canteen and onsite nurse and GP clinics

Plus much more…

About Us

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.

Our Commitment

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. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.

Data Architect employer: Dmgmedia

Harmsworth Media is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, we offer numerous opportunities for professional development and the chance to make a meaningful impact on customer experiences. Join us to be part of a dynamic team where your contributions are valued and rewarded, all while enjoying the vibrant atmosphere of one of the world's most exciting cities.

D

Contact Details:

Dmgmedia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dmgmedia!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Dmgmedia.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dmgmedia.

Apply Directly through Our Website

When you find a suitable opening like Data Architect at Dmgmedia, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Architect

Data Architecture
Cloud Platforms (AWS, GCP)
Data Flow Mapping
Data Optimisation
Data Governance
Architecture Standards
AI/ML Infrastructure Design

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Dmgmedia, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dmgmedia. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Dmgmedia

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dmgmedia!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.