Databricks Solution Architect

Posted 3 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Information Technology • Business Intelligence • Consulting
The Role
Designs and delivers scalable modern big data platforms, including streaming, data lake, and lakehouse architectures. Advises senior client stakeholders on data strategies, cloud-native modernization, governance, analytics, and AI integration. Leads solution design, implementation, transformation initiatives, and technical collaboration across multiple sectors. Contributes thought leadership, reusable assets, and practice growth while aligning data platforms with measurable business outcomes.
Summary Generated by Built In

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.

Skills Required

  • Minimum 8-12 years of experience in data architecture, engineering, or consulting
  • At least 4 years of experience in modern big data solution architecture
  • University degree
  • Expertise designing and implementing modern big data architectures for large enterprises
  • Experience across data ingestion, storage, transformation, governance, analytics, and consumption
  • Experience leading data modernization initiatives across multiple sectors
  • Proficiency with Apache Spark, Kafka, Confluent, Databricks, and Unity Catalog
  • Strong knowledge of AWS, Azure, GCP, Terraform, and CloudFormation
  • Experience with data lake and lakehouse architectures and modern streaming solutions
  • Experience with SQL, NoSQL, ETL/ELT pipelines, Python, R, and Java
  • Understanding of data governance, security, and compliance frameworks including GDPR, CCPA, and HIPAA
  • Strong consulting, analytical, problem-solving, communication, and senior stakeholder engagement skills
  • BSc or MSc in Computer Science, Data Engineering, or a related field
  • Relevant Databricks, Kafka, or cloud platform certifications
  • Exposure to machine learning and AI integration within modern data platforms

NTT DATA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.

  • Fair & Transparent Compensation Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
  • Healthcare Strength Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
  • Wellbeing & Lifestyle Benefits Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.

NTT DATA Insights

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The Company
HQ: Tokyo
55,092 Employees
Year Founded: 1988

What We Do

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity

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