Solution Architect

NTT DATA
London
3 months ago
Applications closed

Related Jobs

View all jobs

Solution Architect

Data & AI Solution Architect, Azure, Remote

Microsoft Data Solution Architect

Quantitative Research - CDO Data Solution Architect - Vice President

Data Architect

Enterprise Architect

Job Description

What you'll be doing:

You will be working for the Lead Solution Architect in a Solution Architect role for TMDC across multiple different components, mostly based around Java tooling (both OLTP and Batch) but also including Python aspects. The components run on the banks on-premises infrastructure and on the banks GCP installation. 

Carrying out Architecture and design work to propose/refine technical implementation options Working closely with Business Analysts to understand functional and non-functional requirements to feed into your Architecture/Design work Define and maintain interface definitions across our internal components and for our external interfaces Working closely with SRE team to understand their needs and define solution improvements to accommodate these Working closely with our QA team to help decision making on what testing to carry out and how to integrate to solutions Taking responsibility for the completeness of Architecture records and documentation Running the Architecture forum for the TMDC domain Working across multiple squads to assist Tech Leads and Senior Engineers with design and compliance activities

What experience you'll bring:

Experienced Software Engineer, including extended experience with Java Combined experience as a Software Engineer then Solution Architect Deep professional experience of at least one storage technology, preferably Oracle or Google Big Query Professional experience working with Google Cloud Platform Professional experience of at least one "CI/CD" tool such as Team City, Jenkins, GitHub Actions Experience of working with Agile build and deployment practices Knowledge and track record of creating and delivering technical designs that consider the full range of non-functional requirement categories (e.g. reliability, scalability, observability, testability) Deep understanding of relevant Architecture styles and their trade-offs - e.g. Microservices, Monolith, Batch Experience of working in one of more large data integration projects/products Experience of working with a globally distributed team requiring remote interaction across locations, time zones and diverse cultures Data modelling experience Understanding of data security principles and implementation considerations Excellent communication skills (verbal and written)

Ideal to Have

Knowledge of DB environment (e.g. DB GCP, Fabric, DWEB, eIDp, AutoBahn) Previous experience of working in a role requiring significant Data Architecture contribution Experience and knowledge of Data Engineering topics such as partitioning, optimisation based on different goals (e.g. retrieval performance vs performance) Experience working with confidential data and strategies to avoid direct use of raw data Experience related to any of payment scanning, fraud checking, integrity monitoring, payment lifecycle management Experience working with TMDC GCP tech stack – Cloud Composer, Dataproc, BigQuery, Looker Experience working with Apache Spark Experience working with Kotlin Experience working with Drools or similar product (e.g. Red Hat rules, IBM ODM, Open Rules) Experience of different JavaScript frameworks (e.g. React, Angular)

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

what we'll offer you:

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.

You can find more information about NTT DATA UK & Ireland here: NTT DATA UK & I 

We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a Disability Confident Committed Employer - we want to see every candidate performing at their best throughout the job application and interview process, if you require any reasonable adjustments during the recruitment process, please let us know and we look forward to hearing from you.

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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.