Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Architect - GCP

Forsyth Barnes
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect- £500pd- Remote

Job Title: Data Architect - GCP Platform

Location: London (Hybrid Working - 3 days in office)

Salary: £75,000 - £90,000 + Package

Contact:


Are you a talented Data Platform Architect looking to make an impact in a fast-paced, dynamic environment? A leading media organisation is seeking a data expert to drive the evolution of its cutting-edge data platform and architecture.


We are recruiting on behalf of this global powerhouse, known for its fearless approach and commitment to excellence. If you're ready to play a pivotal role in shaping the future of their data management infrastructure, we want to hear from you!


The Role


  • In this exciting role, you will
  • Architect the data platform by evolving and optimising the organisation's GCP-based data platform to meet long-term strategic goals
  • Design scalable solutions by building and maintaining a robust, secure, and scalable data architecture that spans source systems, the Lakehouse, and the consumption layer
  • Ensure data security by defining and implementing security and access requirements across the data architecture
  • Drive insights by developing a comprehensive logical data model to maximise the value of internal and external data sources
  • Support governance by working closely with the governance team to maintain high standards in data policies and processes
  • Empower analytics by ensuring data accessibility and reliability to support advanced analytics and BI tools
  • Lead and mentor a team of data platform engineers, fostering innovation and excellence


About You


  • You will bring
  • Proven expertise with extensive experience as a Data Architect, focusing on cloud-based data lake and warehouse environments
  • Technical mastery with in-depth knowledge of the modern data stack, including Google Cloud Storage (GCS), Google BigQuery (GBQ), Airflow, and DBT or similar tools
  • Strong leadership with a proactive approach to assessing needs, driving solutions, and influencing outcomes
  • Clear communication with the ability to simplify complex technical concepts for non-technical stakeholders

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.