Solution Data Architect

CDP
London
3 months ago
Applications closed

Related Jobs

View all jobs

Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote

Data Architect

Quantitative Research - CDO Data Solution Architect - Vice President

Data Architect

Databricks Architect

Lead Data engineer, London

Job Purpose and Background in summary

CDP’s Data Team are looking for a skilled, enthusiastic and communicative Solution Data Architect who is passionate about designing data solutions to drive companies, investors, and governments to build a thriving economy which works for people and planet.

About CDP

CDP is a global non-profit that runs the world’s only independent environmental disclosure system. As the founder of environmental reporting, we believe in transparency and the power of data to drive change. Partnering with leaders in enterprise, capital, policy and science, we surface the information needed to enable Earth-positive decisions. We helped more than 24,800 companies and almost 1,000 cities, states and regions disclose their environmental impacts in 2024. Financial institutions with more than a quarter of the world’s institutional assets use CDP data to help inform investment and lending decisions. Aligned with the ISSB’s climate standard, IFRS S2, as its foundational baseline, CDP integrates best-practice reporting standards and frameworks in one place. Our team is truly global, united by our shared desire to build a world where people, planet and profit are truly balanced.Visit cdp.net or follow us @CDP to find out more.

About the Data Team

The role sits within the Data Directorate which comprise of more than 30 data professionals working across CDP to deliver a series of innovative data products and data analytical services for internal and external stakeholders including Capital Markets, Cities, States and Regions and Supply Chain clients. Alongside the Data Governance, Data Engineering and Data Analytics teams, you will help develop and deliver exciting and impactful data solutions as well as champion thoughtful data design in our source systems.

Reporting into the Director of Data, in this role you will work closely with colleagues in data, product and engineering to facilitate a data ecosystem that will seamlessly support the needs of CDP and their customers. With an ability to take both a holistic view but also get into detailed requirements, you will help to guide multiple teams with the design and implementation of their data solutions.

Key responsibilities include:

  • Build an enterprise-wide view of physical data models, data flows & transformations between them.
  • Implementation independent view of CDP’s data concepts to unify all physical implementations.
  • Build an enterprise data model.
  • Defining data architecture frameworks, standards and principles.
  • Establishing master data, source and target systems plus management.
  • Defining reference architecture to guide development of analytics solutions and source systems.
  • Collaborating and coordinating with multiple departments and stakeholders.
  • Translating business requirements into technical specifications including data streams, integrations, transformations, databases, data warehouses, data lakes and data lakehouses.
  • Work closely with the engineering teams to design source system data solutions supporting both system and data product needs.
  • Maintain effective working relationships with internal stakeholders to ensure requirements are met in a smooth and efficient manner.

We would like to see the following skills and experience:

  • Strong aptitude for Data Modelling, Database & Data Platform Design.
    • Proficiency in creating logical & physical data models.
    • Knowledge of relational (SQL) and non-relational (NoSQL) database systems.
    • Understanding of ETL/ELT Processes. 
    • Solid understanding of Data Integration & Architecture.
    • Experience with data integration.
    • Data warehousing concepts.
    • Data flow design
    • Experience working with cloud computing on Azure or similar platforms.
    • Strong knowledge and experience of Data Governance & Data Management and their implementation.
    • Understanding of Data Quality techniques.
    • Proficient in SQL & Python.
    • Knowledge of BI & Analytics.
    • Familiarity with BI tools such as Power BI.
    • Able to design systems to support a data driven organisation.
    • Experience with Agile development methodologies.
    • Familiarity with collaboration tools such as DevOps.
    • Ability to consider problems from both micro & macro levels plus across time to deliver solutions which are scalable, robust and flexible.
    • Critical thinking, problem solving and ability to work with large datasets.
    • Strong communication and presentation skills and the ability to convey complex concepts to non-data experts in English.
    • Attention to detail and commitment to achieving high standards.
    • A passion for ‘designing for data’ and champion of its use.

This is a permanent, full-time role based out of the CDP office in London, reporting to the Director of Data.

Salary and benefits:
Competitive NGO salary, 30 days’ holiday plus bank holidays, generous non-contributory pension provision, Employee Assistance Programme, life assurance, training and development, flexible working opportunities and other benefits.

Interested applicants must be eligible to permanently work legally in the United Kingdom. Sponsorship is not available for this role.

Before you apply

We’ll only use the information you provide to process your application. For more details on how we use your information, see our applicant’s privacy notice. By uploading your CV you are permitting CDP to use the information you have provided for recruitment purposes. 

How to apply:

Please upload your CV in the application form along with a covering letter setting out why you would like to work for CDP and how you meet the required skills and experience. We will be reviewing applications on a rolling basis. The closing date is 20th March, 2025. We are looking for the successful candidate to start as soon as possible.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.