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

Apply Now

Data Architect Manager

Hemel Hempstead
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Lead Data Engineer

Solution Consultant - IT & Data Science

Engineering Manager - Data Science Team

Lead Data Scientist - Agentic AI - Macquarie Group

Lead Data Scientist - Agentic AI - Macquarie Group eFinancialCareers

Data Architect Manager

£65,000pa

Hemel Hempstead – Hybrid (3 days in the office)

Hightown is about to start building is new cloud data environment and transitioning from its on-premises estate to enable the faster and more powerful insights. This is a new role; to manage a newly created team to lead that journey but will be hands on and technology driven.

We’re looking for a data professional who is well rounded, highly experienced and good solid data architecture/data ingestion/data warehousing experience. This is an exciting opportunity for an individual who wants to create something special.

The successful candidate will confidently lead and mentor a team of data developers whilst designing and managing Hightown’s data environment.

Key Responsibilities:

Architecting and designing solutions in a cloud native data environment
Guide and coach the data developers to foster a collaborative and innovative environment to drive success
Developing and aligning the data strategy with the Hightown’s broader goals, driving impactful outcomes
Own and manage data governance frameworks, including robust data dictionaries, policies, and procedures
Strong experience of managing and delivering complex service integration solutions within time, cost and quality targets.
Lead on data architecture projects from inception to completion.Experience and Qualifications Required:

Relevant Certification such as Microsoft Certified: Azure Data Engineer Associate, Oracle Database SQL Certified Associate
Proven experience in architecture, data management or a related role at senior level
Previous experience in a leadership role with the ability to motivate, manage performance and foster professional development
Experience with data integration tools, ETL processes and big data technologies

Why Join Us?

Work in a collaborative and supportive team environment.
33 days of annual leave including Bank Holidays
Competitive salary of £65,000 per annum (35-hour week)
Monthly attendance bonus
Life assurance cover (three times your annual salary)
Access to favourable discounts and savings at high street retailers, gyms, restaurants, and cinemas
Ongoing training opportunities to develop your career
Employee support and health & wellbeing services
Free access to on-site gym

We will be reviewing and interviewing candidates on an ongoing basis, so we encourage you to apply early to avoid missing out.

Hightown is an Equal Opportunities & Disability Confident Employer

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.