Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Architect and deliver modern big data platforms while guiding clients on their data journeys.
- Company: Join a global leader in data-driven innovation with a collaborative culture.
- Benefits: Flexible work options, tailored benefits, and continuous growth opportunities.
- Why this job: Make a real impact by shaping the future of data architecture and analytics.
- Qualifications: 8+ years in data architecture with expertise in Databricks and cloud-native solutions.
- Other info: Inclusive environment with diverse networks and a commitment to equity and diversity.
The predicted salary is between 48000 - 72000 £ per year.
The team you will be working with: 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 modernisation 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.
What you will be doing:
- 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
What experience you will bring:
Must-Have Competencies:
- 8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with 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 - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
- Data governance & compliance - Strong background in 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 contribution to practice growth through proposition development and knowledge sharing
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. Preferred: BSc/MSc in Computer Science, Data Engineering, or related field. Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable.
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.
What we will offer you: We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensures that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. 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 proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Databricks Architect (Modern Big Data) employer: NTT America, Inc.
Contact Detail:
NTT America, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Architect (Modern Big Data)
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We want to show that we’re not just a good fit for the role, but also for the team. Tailor your answers to reflect how your experience aligns with their values and goals.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. We can’t stress enough how important it is to be comfortable talking about your skills and experiences in a way that resonates with the interviewers.
✨Tip Number 4
Don’t forget to follow up after your interview! A simple thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate why you’re the best fit!
We think you need these skills to ace Databricks Architect (Modern Big Data)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Databricks Architect role. Highlight your experience with data architecture, especially in modern big data solutions, and don’t forget to mention your hands-on expertise with Databricks and cloud platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how your skills align with our mission at StudySmarter. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Thought Leadership: We love candidates who can demonstrate thought leadership! If you've contributed to industry discussions, written articles, or led workshops, make sure to include these experiences. It shows you’re not just a doer but also a thinker in the data space.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it.
How to prepare for a job interview at NTT America, Inc.
✨Know Your Databricks Inside Out
Make sure you have a solid understanding of the Databricks Lakehouse architecture, Delta Lake, and Unity Catalog. Be prepared to discuss how you've used these technologies in past projects and how they can be leveraged for modern big data solutions.
✨Showcase Your Leadership Skills
As a Data Solutions Architect, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples of how you've successfully managed large teams and navigated complex stakeholder relationships, especially with C-level executives.
✨Align Data Strategy with Business Goals
Be ready to explain how you've translated business objectives into data strategies in previous roles. Highlight your experience in aligning technical solutions with business needs, as this is crucial for the role.
✨Stay Current with Industry Trends
The tech landscape is always evolving, so show that you're on top of the latest trends in big data, cloud-native architectures, and AI/ML integration. Discuss any recent developments or innovations you've explored and how they could benefit the company.
