Lead Data Architect

NTT DATA
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Staff Data Engineer

Lead Data Engineer

Senior Power BI Data Analyst

Lead Data Engineer (GCP)

Lead Data Engineer (GCP)

Lead Data Engineer (Cloud)

Job Description

What you'll be doing:

We are seeking a pragmatic, detail oriented and experienced Lead Enterprise Data Architect to join our growing Data & Intelligence practice. The ideal person for this role will have expertise gained from working in one or many industries and will be responsible for the development of conceptual and logical data models, defining architectural frameworks as well as defining high level operating models and governance frameworks for managing the Data Architecture. You will also love to collaborate with other Data professionals, engineers, and business or operations experts to understand and address their data needs.

As an 'Enterprise' Data Architect, you will be a trusted client advisor responsible for defining how Data fits into the wider Business and Technology Architectures which exist.

Although technology agnostic, you will have experience in shaping vendor assessments for the various components of the architecture and will work with Data Solution Architects who are responsible for defining, elaborating, and designing the physical layers of the architecture and data models.

You will share a passion for Data and how it can be used to develop Data Driven Businesses, innovative ideas and thrive in an environment that embraces collaboration with clients and internal teams to scope, plan and execute projects on time and within budget.

You will be expected to shape propositions and services, support sales activities, deliver client engagements, lead teams (on/near/far shore) and manage cross-functional client staff and stakeholders in a variety of contexts, covering multiple sectors, including telecoms and media, banking, insurance, public sector, manufacturing and automotive, energy & utilities, and retail.

We are looking for someone with a strong background in Data Architecture and demonstrable experience of delivering Data Architecture Projects utilising a broad range of methods and frameworks incorporating on-prem, cloud and hybrid models.

The role will include the following:

Input into and drive the creation of go-to-market propositions and services in Data Architecture. Support client partners and practice leads in pre-sales activities. Act as a go-to practitioner in delivering projects in the Data Architecture field. Data Modelling Data Architecture Frameworks Defining end-to-end Data Architectures Leading and developing architecture teams Joining the dots between Business, Technology and Data architectures Input into the shaping of Data Architecture engagements. Deliver Data Architecture engagements with/ for our clients.

Remain up to date with the regular changes in the Data Architectures and ensure that this knowledge is made available to the wider Data & Intelligence practice.

What experience you'll bring:

Deep and proven experience in defining, developing, and managing data architectures in large and complex organisations and enterprise architectures. Comfortable developing and shaping the architectural vision. The ability to demonstrate core consulting values. Ability to operate in demanding situations whilst still having relentless drive to deliver with enthusiasm. Proven expertise in data modelling and reference data architectures. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficient experience with data architecture and modelling tools such as sParx, Erwin, and Archi. Data-oriented personality, great communication skills, and an excellent eye for detail. Combination of technical, creative and business consulting experience. Must be able to interface with and manage relationships with businesspeople and technologists at senior levels showing competence in both areas. Experience with consulting-led sales. Extensive experience in either, or all, of the Telco-Media, Banking & Insurance, Public Sector, Manufacturing & Automotive, Retail sectors required. BS in Computer Science, Information Management or Information Technology is a plus. Deep hands-on experience of relational and dimensional data modelling.

Who we are:

We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.

Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.

For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA

Back to search Email to a friend Apply now

Apply

Listen to the story of Employee Voice

Alejandro Hernandez

Agile Coach/Digital Strategy Consultant for the Banking Sector

Chile

Read more

Giuseppe Cuciniello

International Business Development and commercial planning

Italy

Read more

Ianca Caroline Nascimento Linhares

Agility Trainee

Brazil

Read more

Apply Back to search results

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.