Data Architect

National House Building Council
Milton Keynes
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Working location: Milton Keynes, Hybrid

Employment type: Full time, Permanent

Job summary

We are seeking a Data Architect to shape how we design, govern, and use data across the organisation. You’ll ensure that data is treated as a strategic asset, supporting business goals through well-structured, high-quality, and scalable solutions.

Reporting to the Chief Data Officer, you’ll collaborate with engineers, analytics leads, and governance teams to set standards, guide architectural decisions, and optimise our Snowflake-based cloud platform. You’ll also support initiatives involving AI, automation, real-time data, and reporting tools like Power BI and Tableau.

What you’ll be doing
  • Lead the delivery and optimisation of NHBC’s enterprise data architecture and cloud data platform (Snowflake).
  • Set and maintain data standards, models, and design patterns across domains.
  • Ensure high-quality, secure, and well-governed data through collaboration with engineering and governance teams.
  • Oversee integration pipelines, data transformations (dbt), and reporting alignment (Power BI, Tableau).
  • Guide architectural decisions supporting AI, analytics, automation, and real-time data.
  • Promote reusability and consistency through shared templates, artefacts, and cataloguing standards.
  • Provide architectural input into strategic programmes and data-driven product development.
What we’re looking for
  • Expertise in Snowflake, dbt, and modern ELT techniques.
  • Strong understanding of data modelling, warehouse design, and governance.
  • Excellent communication and storytelling skills, able to bridge business and technical teams.
  • A collaborative, inclusive approach to leadership and problem-solving.
What we offer

Our benefits package includes:

  • 27 days annual leave + bank holidays
  • enhanced pension scheme (up to 10.5%)
  • life assurance
  • subsidised private medical insurance
  • employee discounts platform
  • enhanced maternity, paternity, adoption leave and pay for all new parents

+ many more!

Who we are

At NHBC, we pride ourselves on being truly unique. No other organisation in our sector matches the range of services and scale we provide. As the market leader, we are recognised as the go-to for new home warranties and insurance. Our team is united by a core purpose: to raise the standards of house building and protect homeowners.

Why you should join us

As a modern, family-friendly employer, we’re in a phase of rapid growth, embracing technology, data and new ways of working. We’re seeking passionate, skilled and driven individuals to join us on this exciting journey.

Once onboard, you’ll have access to fantastic opportunities for personal and career growth. You’ll receive thorough training, continuous development and the chance to earn recognised qualifications and professional memberships to support your journey.

We support flexible working and encourage our colleagues to find a balance that suits them. While we may not be able to accommodate every request, we’re always happy to have a conversation about flexible working arrangements.

Our inclusive culture

We are dedicated to fostering an inclusive culture where everyone feels empowered to bring their authentic selves to work. We firmly believe in the right of all our employees and customers to be treated fairly, with dignity and respect, and free from discrimination. Our active employee networks support colleagues and their allies, providing safe spaces for open conversations and idea-sharing.

Note: This description reflects the content provided and removes irrelevant boilerplate while preserving legally required EEO statements.


#J-18808-Ljbffr

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.