Data Architect Interview Questions UK: 8 Real Questions and What Interviewers Want

Before your Data Architect interview, it helps to see the questions from the interviewer's side. We have picked eight from our set of 16 and added the reason each one gets asked.

Eight Data Architect interview questions, and what the interviewer is thinking

1. Walk me through how you would design a target data architecture for an organisation with many siloed source systems.

Why they ask: Architecture design is the core of the role and the most common opening question.

2. What are the differences between a data warehouse, data lakehouse and data mesh, and how would you decide which suits a client?

Why they ask: Architects must choose patterns appropriately, not follow trends.

3. How do you approach conceptual, logical and physical data modelling, and when would you choose Kimball, Inmon or Data Vault?

Why they ask: Modelling methodology knowledge is expected at architect level.

4. How would you set up data governance for an organisation starting from a low base, including roles, policies and tooling?

Why they ask: Governance is a major part of architecture work and often where projects fail.

5. The CTO wants to move the entire on-premises data warehouse to the cloud in six months. You believe it is unrealistic. How do you respond?

Why they ask: Architects must manage executive expectations with evidence and alternatives.

6. How do you design for security and compliance in a data architecture handling personal and special category data under UK GDPR?

Why they ask: Compliance-led design is non-negotiable in UK data architecture.

7. Tell me about a time you designed an architecture and had to persuade stakeholders or engineers who disagreed with your approach.

Why they ask: Architecture is as much influence as design, so interviewers look for evidence of both.

8. What makes a great data architect, and how do you balance being hands-on with strategic and advisory work?

Why they ask: To explore your understanding of the role's breadth and your leadership style.

A sample answer to question 1

Walk me through how you would design a target data architecture for an organisation with many siloed source systems.

I would begin with the business strategy and the decisions or services that data must support, not the technology. I would run discovery to capture current systems, data flows, pain points, data volumes, quality, regulatory constraints and the skills in the organisation. Then I would define principles, such as single source of truth, security by design and reuse over rebuild, and a set of architectural views: conceptual data model, logical layers and physical platform. Typically I would propose layers for ingestion, storage in a lakehouse or warehouse, transformation, serving and a governance plane covering catalogue, lineage, quality and access. I would assess options such as centralised warehouse, lakehouse or a federated data mesh against criteria like cost, scalability, team maturity and vendor strategy, document the decision in an architecture decision record, and map a roadmap in phases with early value, so we are not planning a big bang. I would validate with a proof of concept and engage stakeholders throughout, using TOGAF or similar frameworks only where they add clarity.

Common mistake to avoid: Leading with a favourite technology; no phasing or business value

Want the rest?

Full model answers, key points and common mistakes for all 16 questions are on the Data Architect interview questions page. The first five are free, no sign-up needed.