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Senior Data & AI Architect

London, England, United Kingdom

Actively hiring, first seen by us 2 days ago
Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design enterprise-wide data architecture strategies for business needs

  • Architect scalable, secure data solutions across cloud and on-premises

  • Design AI and machine learning solutions for real business challenges

  • Set data governance, quality, security and compliance frameworks

  • Mentor technical colleagues and build a culture of learning

From the employer’s posting
Designing and delivering enterprise-wide data architecture strategies that support our business ambitions.
Architecting scalable, secure and high-performing data solutions across cloud and on-premises environments.
Designing AI and machine learning solutions that tackle real business challenges and deliver measurable value.
Establishing strong data governance, quality, security and compliance frameworks.
Mentoring technical colleagues and helping build a culture of collaboration, learning and innovation.

What you’ll bring

All qualifications

Core experience

  • Significant experience in data architecture, data engineering or enterprise architecture
  • Strong experience designing data platforms on AWS, Azure or Google Cloud
  • Expertise in data modelling, SQL, NoSQL and modern databases
  • Experience with big data tools such as Apache Spark or Hadoop
  • Programming in Python, Scala, Java or similar
Qualification wording
Significant experience in data architecture, data engineering or enterprise technology architecture, including leading large-scale initiatives.
Strong experience designing data platforms using AWS, Azure or Google Cloud.
Expertise in data modelling, SQL, NoSQL and modern database technologies.
Experience with big data technologies, such as Apache Spark, Hadoop or distributed computing frameworks.
Programming knowledge in Python, Scala, Java or similar languages.
Apply at LGC Group

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 55.

From 8,347 similar postings that came down. Coming down is not always a hire.

LGC Group is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • Hadoop
  • NoSQL
  • Spark
  • GCP
Where the posting names them
- Experience with big data technologies, such as Apache Spark, Hadoop or distributed computing frameworks. - Programming knowledge in Python, Scala, Java or similar languages. - Experience architecting AI and machine learning solutions, including deploying models into production.
- Strong experience designing data platforms using AWS, Azure or Google Cloud. - Expertise in data modelling, SQL, NoSQL and modern database technologies. - Experience with big data technologies, such as Apache Spark, Hadoop or distributed computing frameworks.
- Significant experience in data architecture, data engineering or enterprise technology architecture, including leading large-scale initiatives. - Strong experience designing data platforms using AWS, Azure or Google Cloud. - Expertise in data modelling, SQL, NoSQL and modern database technologies.
- Expertise in data modelling, SQL, NoSQL and modern database technologies. - Experience with big data technologies, such as Apache Spark, Hadoop or distributed computing frameworks. - Programming knowledge in Python, Scala, Java or similar languages.

Your next step

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,205, and the latest week had 836.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Job Description

Are you passionate about turning complex data into powerful business solutions? Do you enjoy designing innovative technology, solving big challenges and influencing how organisations use data and AI?

We're looking for an experienced Senior Data & AI Architect to help shape our data and AI landscape, building the platforms, capabilities and foundations that will support our future.

This is an exciting opportunity to make a real impact, combining hands-on technical expertise with strategic thinking to influence how data and AI are used across our global organisation.

You'll be responsible for:

  • Shaping our data future: Designing and delivering enterprise-wide data architecture strategies that support our business ambitions.
  • Building smarter platforms: Architecting scalable, secure and high-performing data solutions across cloud and on-premises environments.
  • Bringing AI to life: Designing AI and machine learning solutions that tackle real business challenges and deliver measurable value.
  • Making data work harder: Improving existing infrastructure, optimising performance and identifying opportunities to increase efficiency.
  • Setting the standards: Establishing strong data governance, quality, security and compliance frameworks.
  • Connecting people and technology: Partnering with business leaders, engineers and data scientists to turn complex requirements into practical solutions.
  • Driving innovation: Exploring emerging technologies, challenging existing approaches and helping our teams stay ahead of the curve.
  • Sharing your expertise: Mentoring technical colleagues and helping build a culture of collaboration, learning and innovation.

Qualifications

​​​​​​What we’re looking for:

We're looking for someone who combines deep technical expertise with the ability to see the bigger picture. You'll be comfortable getting into the detail, but equally confident influencing stakeholders and shaping long-term technology decisions.

Ideally, you'll bring:

  • Significant experience in data architecture, data engineering or enterprise technology architecture, including leading large-scale initiatives.
  • Strong experience designing data platforms using AWS, Azure or Google Cloud.
  • Expertise in data modelling, SQL, NoSQL and modern database technologies.
  • Experience with big data technologies, such as Apache Spark, Hadoop or distributed computing frameworks.
  • Programming knowledge in Python, Scala, Java or similar languages.
  • Experience architecting AI and machine learning solutions, including deploying models into production.
  • A solid understanding of data governance, security, quality and compliance.
  • Strong problem-solving skills and the ability to communicate technical ideas clearly to a wide range of stakeholders.

Additional Information

Our values:

Passion: Pride in our achievements engenders passion for our work and it translates into our ambition to make the world a safer place.

Curiosity: We constantly look forward to what's next: our curiosity for today's discoveries makes tomorrow's innovations possible.

Integrity: A commitment to high ethical standards has been at the heart of LGC since we started testing the integrity of products in 1842.

Brilliance: We strive to be the very best in everything we say and do. We exceed customers' expectations through innovation and pioneering science.

Respect: We respect gender, age, nationality, religion and individuality – our diversity is our strength.

We are committed to ensuring that every job applicant and employee is valued for their individual talents. We strictly prohibit discrimination on the basis of age, disability, race, colour, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or parental status, religion, or belief. We proudly support an inclusive work environment where everyone can compete and succeed based on their merits.

For more information about LGC, please visit our website www.lgcgroup.com

#scienceforasaferworld

Company Description

LGC is an international life sciences tools company, building leading positions in sustainably growing markets. It provides reference materials, genomics solutions and analytical testing products and services, based on its innovation and intellectual property. It works with customers in the pharmaceuticals, agricultural biotechnology, food, environment, and sports sectors as well as with governments and academia to achieve excellence in investigative, diagnostic and measurement science.

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Location & working pattern

London, England, United Kingdom

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