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Women in Data®

Lead Data Architect

London
Posted about 22 hours ago
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The team you'll 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.

This role is London-based but may involve travel within the UK and Europe and will require flexibility.

What you'll be doing:

Primary Responsibilities:

  • 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.
  • Data Architecture Frameworks.
  • 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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'll bring:

Must-Have Competencies

  • 8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with a 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 a 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.

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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

What we'll offer you:

We offer a range of tailored benefits that support your physical, emotional, and financial well-being. 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: NTT DATA UK & Ireland

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.

Women in Data® advertise roles on behalf of our partners, alliances, and members.

We are proud supporters of Women in Data. Connect, engage, and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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Skills

Data Architecture
Enterprise Architecture
Cloud-native Architecture
AWS
Azure
GCP
Data Governance
Data Strategy
Pre-sales
Stakeholder Management
Agile Delivery
Snowflake
Databricks
ETL/ELT
MLOps
Data Lifecycle Management

Location

London, England, United Kingdom

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