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

Apply Now

Data Solutions Architect (Modern Big Data)

NTT DATA
London
2 days ago
Create job alert
Overview

Databricks Solutions Architect (Modern Big Data) at NTT DATA

We are seeking a highly experienced Data Solutions Architect to join our Data & AI practice. The successful candidate will have extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role focuses on enabling clients to harness streaming data, data lakes, lakehouses, and advanced analytics platforms, guiding them on data modernization journeys.

As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern big data strategies, design cloud-native architectures, and implement best practices. You will thrive in a fast-paced, evolving technology environment, continuously expanding your knowledge to keep NTT DATA and clients at the forefront of data-driven innovation.

What you'll be doing
  • Client Engagement & Delivery
  • Solution Design & Implementation
  • Modernisation & Transformation
  • Thought Leadership & Knowledge Sharing
Business Relationships
  • Client Partners
  • Practice Leaders and Members
  • Peer-level relationships within client organisations up to Head of Data Engineering, Chief Data Architect, CIO, and CDO level
What experience you'll bring
  • 8+ years data architecture experience with enterprise-scale solutions across multiple sectors and a proven delivery track record
  • Technical leadership at scale – Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
  • Full data lifecycle mastery – End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
  • Business-technology translation – Ability to align data strategy with business objectives and communicate across all stakeholder levels
  • Databricks platform expertise – Deep hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and multi-cloud implementations

Must be eligible for SC clearance

Nice to Have
  • Cloud-native architecture expertise – Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
  • Presales & business development experience – Opportunity qualification, bid reviews, proposal development, and client-facing sales activities
  • Data governance & compliance – Security frameworks, regulatory compliance (GDPR), data lineage, and quality management
  • AI/ML integration capabilities – Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
  • Agile delivery & thought leadership – Proven agile/hybrid delivery experience with contributions to practice growth
Experience, Qualifications
  • Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4+ years in modern big data solution architecture
  • Education: University degree required; BSc/MSc in Computer Science, Data Engineering, or related field preferred
  • Certifications: Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable
Measures of Success
  • Delivery of modern big data solutions aligned to client business objectives
  • High client satisfaction and repeat engagements
  • Leadership in client transformation journeys to cloud-native data platforms
  • Contribution to practice growth through assets, accelerators, and thought leadership
Who we are

NTT DATA is a global services provider delivering consulting, applications, cloud, and infrastructure services. We value inclusion, collaboration, and continuous learning, with networks such as Women’s Business Network, Cultural & Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network, and Parent Network.

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

What we'll offer you

We offer tailored benefits supporting physical, emotional, and financial wellbeing, with continuous growth and development opportunities and flexible work options.

You can find more information about NTT DATA UK & Ireland here: https://uk.nttdata.com/

EEO & Accessibility

We are an equal opportunities employer, committed to equity and diversity in our employment practices. We guarantee an interview to applicants who declare they have a disability and meet the minimum requirements for the role, and we will provide reasonable adjustments during the recruitment process if requested.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Solutions Architect (Modern Big Data)

Solutions Architect - Big Data and DevOps (f/m/d)

Big Data Solutions Architect (Spark, DE, AWS, Azure)

Big Data Solutions Architect (DE, Spark Architecture)

Pre Sales Data Architect

AWS Data Architect

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.