National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Architect (Customer Data)

Abcam
Cambridgeshire
1 year ago
Create job alert

Company Description

For over 20 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders.

We believe that to continue making progress, we need to work together in new ways. We need your own unique perspective as well as this of our people to make an always greater impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly bring progress forward.

Job Description

We are looking for aData Architectto set the vision for the organisation’s use ofcustomerdata, through data design, to meet business needs. For this role, you should know how to analyze and profile data sources, model data at destinations (warehouses and other), define system requirements, and implement migration methods for existing data.

Hands-on experience with SQL and PL/SQL is essential, as we use Oracle and other storage systems. Ideally, you are familiar with dbt (data build tool). It’s desirable that you have experience with data visualization techniques using relevant tools (e.g. Tableau), and with basics of AWS and of Python.

Ultimately, you will develop and maintain various data models which represent entities of abcam business, store them effectively, securely, and make sure that data can benefit your stakeholders.

The Data Architect role is a part of the Data Engineering team and partners with corporate functions of Technical Operations, Customer Experience, New Product Development, Supply Chain, Manufacturing, HR, Finance and Procurement in a truly global business. This requires you to be agile, audacious, and dedicated to ensuring we’ve the right data architecture and capability in our teams to help our customers achieve their research missions, faster.

Continually seek to improve current services and capabilities in Data & Analytics Work as a part of the greater Data Engineering to provide high quality, timely, data to stakeholders Identify and profile data sources with stakeholders, support data extraction and integration, contribute to the ELT process, create and maintain data mappings. Model data at source and destination to support the Enterprise Data Model. Own organised data models, usable and understandable by business stakeholders who analyse it. Support data transformations, work with stakeholders to define, maintain, and manage changes. Cooperate with Data Governance to provide them insights and enable them to assign data ownership. Ensure data Security and Compliance, design access controls and rules, for properly encrypted data. Analyse structural requirements for new software and applications Support data migrations from legacy systems to new solutions Improve system performance by conducting tests, troubleshooting and integrating new elements Optimize new and current database systems Define security and backup procedures Work with architecture to build a holistic picture of the Abcam enterprise environment

Qualifications

Proven work experience as a Data Architect Good communication and organizational skills, stakeholder management In-depth understanding of database structure principles Experience gathering and analyzing system requirements Expertise in SQL and Oracle Familiarity with data visualization tools (e.g. Tableau) Proven analytical skills Problem-solving attitude BSc in Computer Science, Computer Engineering or relevant field

Additional Information

We know that when it comes to benefits, no one size fits all. Flexibility and choice matter which is why, in addition to market competitive salaries, we offer you a flexible benefits package which is tailored to your unique needs and support your financial, physical and emotional wellbeing. This includes 18 weeks fully paid maternity leave, 6 weeks fully paid paternity leave as well as highly flexible working and much more. Besides, your development will be integral to your experience here. You will grow alongside other talented minds, in ways you may often find unexpected.

When people come together, incredible things happen. Here you’ll work in a safe environment where you can be who you truly are. We’ll champion and celebrate your uniqueness throughout your journey with us. This is how we excel at partnering with the scientific community no matter the challenge, ultimately helping solve the world’s most critical diseases. Find out more about Diversity & Inclusion at Abcam.

#LI-CM1

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Solution Architect

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.