Lead Data Architect

Lead Data Architect

Full-Time 48000 - 72000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead innovative data architecture projects and collaborate with top industry professionals.
  • Company: Global tech leader transforming businesses through data and AI.
  • Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
  • Why this job: Shape the future of data architecture and make a real impact across industries.
  • Qualifications: 8+ years in data architecture with cloud expertise and strong leadership skills.
  • Other info: Inclusive culture with diverse networks and commitment to equity and diversity.

The predicted salary is between 48000 - 72000 ÂŁ per year.

The team you will be working with: We are seeking a pragmatic, detail oriented and experienced Lead Enterprise Data Architect to join our growing Data & AI practice. The ideal person for this role will have extensive Data expertise gained from working at senior management and C-level suite levels in one or many industries and will be responsible for leading client engagements, defining architectural frameworks, as well as defining high level operating models and governance frameworks for managing the Data Architecture. You will also love to collaborate with other Data professionals, engineers, and business or operations experts to understand and address their data needs. As an 'Enterprise' Data Architect, you will be a trusted client advisor providing high‑value data architecture strategy & TOM services, responsible for defining how Data fits into the wider Business and Technology Architectures which exist. Although technology agnostic, you will have experience in shaping vendor assessments for the various components of the architecture and will work with Data Solution Architects who are responsible for defining, elaborating, and designing the physical layers of the architecture and data models. You will share a passion for Data and how it can be used to develop Data Driven Businesses, innovative ideas and thrive in an environment that embraces collaboration with clients and internal teams to scope, plan and execute projects on time and within budget. You will be expected to shape propositions and services, support sales activities, deliver client engagements, lead teams (on/near/far shore) and manage cross‑functional client staff and stakeholders in a variety of contexts, covering multiple sectors, including telecoms and media, banking, insurance, public sector, manufacturing and automotive, energy & utilities, and retail. We are looking for someone with a strong background in Data Architecture and demonstrable experience of delivering Data Architecture Projects utilising a broad range of methods and frameworks incorporating on‑prem, cloud and hybrid models. This role is London based but may involve travel within the UK and Europe and will require flexibility.

What you will be doing:

  • Input into and drive the creation of go‑to‑market propositions and services in Data Architecture.
  • Support client partners and practice leads in pre‑sales activities.
  • Lead complex client engagements.
  • Act as a go‑to practitioner in delivering projects in the Data Architecture field.
  • Defining end‑to‑end Data Architectures.
  • Leading and developing architecture teams.
  • Joining the dots between Business, Technology and Data architectures.
  • Input into the shaping of Data Architecture engagements.
  • Deliver Data Architecture engagements with/ for our clients.
  • Remain up to date with the continuous evolution in the Data Architectures and ensure that this knowledge is made available to the wider Data & Intelligence practice.

Business Relationships:

  • Client Partners
  • Practice leaders and members
  • Peer level relationships within client organisations up to Chief Data Architect, CIO, 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.
  • Cloud‑native architecture expertise - Hands‑on experience with AWS/Azure/GCP, data lakes, real‑time streaming, and infrastructure‑as‑code.
  • 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.
  • Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client‑facing sales activities.
  • Must be eligible for SC clearance.
Nice to Have:
  • Multi‑platform technology stack - Experience with Snowflake, Databricks, modern ETL/ELT tools, and relevant certifications (SnowPro, AWS/Azure Data).
  • 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.
  • Technical leadership at scale - Leading 15+ person cross‑functional teams and serving as technical escalation point for C‑level stakeholders.
  • Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing.
Required Qualifications
  • Minimum of 5 years experience in data, consulting, analytics or a related function involving quantitative data analysis to solve problems.
  • University Degree, BSc in Computer Science, Information Management, or Information Technology.

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.

For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA.

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 ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. You can find more information about NTT DATA UK & Ireland here: https://uk.nttdata.com/.

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.

Lead Data Architect employer: NTT America, Inc.

At NTT DATA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our London-based team thrives on continuous learning and development opportunities, ensuring that every employee can grow their career while contributing to meaningful projects that make a global impact. With a strong commitment to diversity and inclusion, we provide tailored benefits and flexible work options, making us an attractive choice for professionals seeking a rewarding and supportive workplace.
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Contact Detail:

NTT America, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Architect

✨Tip Number 1

Network like a pro! Get out there and connect with industry professionals on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your expertise! Prepare a portfolio or case studies that highlight your past projects and successes in data architecture. This will help you stand out during interviews and demonstrate your value.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and get comfortable discussing your experience. The more you practice, the more confident you'll feel when it counts.

✨Tip Number 4

Apply through our website! We’ve got some fantastic opportunities waiting for you. Don’t miss out on the chance to join our team and make a real impact in the world of data architecture.

We think you need these skills to ace Lead Data Architect

Data Architecture
Cloud-native Architecture
AWS
Azure
GCP
Data Lakes
Real-time Streaming
Infrastructure-as-Code
Data Governance
Regulatory Compliance
Data Lineage
AI/ML Integration
Agile Delivery
Business-Technology Translation
Presales Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your data architecture expertise and any relevant projects you've led, as this will show us you're a great fit for the role.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data architecture and how your experience aligns with our needs. Share specific examples of how you've successfully delivered data architecture projects in the past.

Showcase Your Collaboration Skills: Since we value teamwork, mention instances where you've collaborated with other professionals, like engineers or business experts, to address data needs. This will demonstrate your ability to work well within our team.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!

How to prepare for a job interview at NTT America, Inc.

✨Know Your Data Architecture Inside Out

Make sure you have a solid grasp of data architecture principles and frameworks. Brush up on your knowledge of cloud-native architectures, data lakes, and real-time streaming. Be ready to discuss how these elements fit into business objectives and how you've applied them in past roles.

✨Showcase Your Leadership Skills

As a Lead Data Architect, you'll be expected to lead teams and client engagements. Prepare examples of how you've successfully led cross-functional teams and managed complex projects. Highlight your experience in translating technical concepts for C-level stakeholders to demonstrate your ability to communicate effectively.

✨Prepare for Client Engagement Scenarios

Think about potential client scenarios you might face in the role. Be ready to discuss how you would approach defining architectural frameworks or addressing specific data needs. This will show your practical understanding of the role and your readiness to engage with clients.

✨Stay Updated on Industry Trends

The data landscape is constantly evolving, so it's crucial to stay informed about the latest trends and technologies. Familiarise yourself with emerging tools and methodologies in data architecture, and be prepared to discuss how these can benefit the organisation and its clients.

Lead Data Architect
NTT America, Inc.
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