Databricks Solution Architect

Open 0d

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.

See also

要針對這個職缺調整履歷嗎?

目前無法檢查您與這個職缺的符合程度;請先將履歷加入個人檔案,下次即可查看。

A new version of freehire is available