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dataroles

Databricks Solution Architect

Nttlimited Open
London Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Nttlimited. London · full-time · no salary stated · we estimate £62,000–£80,000.

Estimated pay

Nttlimited has not published a salary for this role. The figure below is our estimate, not theirs.

£62,000 – £80,000
What the middle half of mid-level data engineering roles in London paid, among postings that did state a salary.
Worked out from 9 postings that stated pay, median £63,750. Last updated Oct 19, 2026.
RoleData Engineering
SeniorityMid-level
LocationLondon
EmploymentFull-time
PostedAug 26, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Shape data platform plans with client leaders, then design cloud-based architectures around their business needs
  • Build and deliver big data platforms spanning streaming, lakes, lakehouses and advanced analytics
  • Guide clients through data modernization, including moves to cloud-native platforms
  • Share technical expertise through practice assets, accelerators and thought leadership

What you bring

  • At least eight years in data architecture, engineering or consulting, including four years in modern big data architecture
  • A university degree is required
  • You have designed and delivered big data architectures for large enterprises
  • You can advise senior client stakeholders and lead data modernization across multiple sectors

Who this fits

This role suits an experienced data architect who combines hands-on platform work with client consulting and senior stakeholder engagement. The opportunity is intended to build a UK talent pipeline for future openings, rather than fill a specific vacancy immediately.

From the employer

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their 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 industry-leading best practices. You will thrive in a fast-paced, evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain leaders in data-driven innovation.

Looking ahead to future opportunities: As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise.

Primary Responsibilities
• Client Engagement & Delivery
• Solution Design & Implementation
• Modernisation & Transformation
• Thought Leadership & Knowledge Sharing
• Collaboration & Leadership


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

To thrive in this role, you need to have:

Key Competencies
• Demonstrated expertise in designing and implementing modern big data architectures for large enterprises.
• Strong consulting values with the ability to engage effectively with senior client stakeholders.
• Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption.
• Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts.
• Ability to align data strategies with business objectives, driving measurable value.
• Excellent analytical, problem-solving, and communication skills.
• Proven experience leading data modernisation initiatives across multiple sectors.


Technical Expertise
• Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog.
• Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation).
• Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions.
• Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java).
• Familiarity with BI, data visualisation, and DevOps principles.
• Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA).
• Exposure to machine learning and AI integration within modern data platforms.


Experience, Qualifications, and Education
• 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.
• Preferred: BSc/MSc in Computer Science, Data Engineering, or related field.
• 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.

Workplace type:


About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.


Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.


Third parties fraudulently posing as NTT DATA recruiters

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.