Data Architect

Reperio Human Capital · Recruitment agency

Contract•Architecture•€400-450/day (EUR)•Ireland · Remote within Ireland · Hybrid

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At a glance

Employment type: Contract
Location: Ireland · Remote within Ireland · Hybrid
Workplace: Hybrid
Day rate: €400-450/day (EUR)
Category: Architecture

Technologies & skills

Primary technologies

Python

Cloud & infrastructure

GCP

Other technical skills

BigQuery dbt

What you'll be doing

Contract Data Architect role (hybrid, Dublin, Ireland) focused on designing scalable enterprise data architecture on modern cloud platforms. Responsibilities include building and optimizing data lakes, warehouses, real-time infrastructure, and establishing governance and security standards. Technical leadership required.

Design and develop scalable enterprise data architecture across modern cloud platforms
Build and optimise data lakes, data warehouses and real-time data infrastructure
Establish data governance, security and architecture standards
Provide technical leadership

Key requirements

Must-have

Previous experience as a Data Architect, Data Modeler or Lead Data Engineer
Proficiency with Python for data processing, orchestration and API development
Extensive experience with GCP data technologies, including BigQuery, Cloud Storage and Composer

Nice-to-have

Google Cloud certifications, such as Professional Data Engineer or Professional Cloud Architect
Experience with Data Mesh or Lakehouse architecture
Advanced dbt experience, including building scalable and testable dimensional data models

Role signals

Technical focus: data architecture
Leadership: Mentoring
Architecture / system design: Indicated in the listing
Hands-on vs management: Hands-on

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Full job description

I'm currently recruiting for a data architect based in Dublin, this is an initial 6-month contract. Focusing on hybrid working, strong day rate available.

About the Role

Design and develop scalable enterprise data architecture across modern cloud platforms.
Build and optimise data lakes, data warehouses and real-time data infrastructure.
Establish data governance, security and architecture standards while providing technical leadership.

Requirements

Previous experience as a Data Architect, Data Modeler or Lead Data Engineer.
Proficiency with Python for data processing, orchestration and API development.
Extensive experience with GCP data technologies, including BigQuery, Cloud Storage and Composer.

Desirable

Google Cloud certifications, such as Professional Data Engineer or Professional Cloud Architect.
Experience with Data Mesh or Lakehouse architecture.
Advanced dbt experience, including building scalable and testable dimensional data models.

If this role sounds of interest to you then apply through the link provided below.

Reperio Human Capital acts as an Employment Agency and an Employment Business.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the role is a contract Data Architect position in Ireland, focused on designing and optimizing scalable data architectures using GCP technologies, Python, and dbt, while establishing governance and providing technical leadership.

Hands-on GCP data architecture experience·High
Python proficiency for data workflows·High
Technical leadership and mentoring·Medium
Data governance and security expertise·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

Review Recent GCP Data Architecture Projects
0–8 min
Prepare 1-2 detailed examples of your work with GCP data services, focusing on design decisions and outcomes.
Refresh Python Data Engineering Use Cases
8–14 min
List and rehearse key projects where you used Python for data processing, orchestration, or API development.
Summarize Data Governance and Security Initiatives
14–20 min
Outline specific frameworks or policies you have implemented and their impact.
Prepare dbt and Data Modeling Examples
20–25 min
Select examples of scalable, testable data models you have built with dbt or similar tools.
Draft Questions for the Interviewer
25–30 min
Choose 2-3 questions from the provided list to ask during the interview.

Likely questions

Expand all

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

1Can you describe a recent project where you designed or optimized a data architecture using GCP technologies?High
Why they may ask
Assesses hands-on experience with GCP and ability to design scalable solutions.
Prepare to discuss
- Clearly outline the project scope and your specific responsibilities.
- Detail the GCP services used (e.g., BigQuery, Cloud Storage, Composer) and why they were chosen.
- Explain challenges faced and how you addressed scalability, performance, or cost.
- Highlight outcomes such as improved efficiency, reliability, or business value.
Tip: Use the STAR method (Situation, Task, Action, Result) to structure your answer.
2How have you used Python for data processing, orchestration, or API development in your previous roles?High
Why they may ask
Evaluates technical proficiency with Python in data engineering contexts.
Prepare to discuss
- Describe specific Python libraries or frameworks used (e.g., pandas, Airflow, Flask).
- Explain the types of data workflows or APIs you built.
- Discuss how your solutions improved automation, reliability, or scalability.
Tip: Mention any integration with GCP services or orchestration tools.
3What strategies have you implemented to ensure data governance and security in cloud-based data platforms?High
Why they may ask
Tests understanding of governance, compliance, and security best practices.
Prepare to discuss
- Give concrete examples of policies, frameworks, or tools you implemented.
- Discuss how you balanced security with accessibility and performance.
- Mention any regulatory or compliance standards addressed (e.g., GDPR).
Tip: Relate your answer to cloud environments, especially GCP.
4Describe your experience with dbt and building scalable, testable dimensional data models.Medium
Why they may ask
Assesses familiarity with modern data modeling and transformation tools.
Prepare to discuss
- Explain the scale and complexity of dbt projects you've led or contributed to.
- Discuss testing, documentation, and deployment practices.
- Highlight any performance optimizations or automation achieved.
Tip: If you have experience with data mesh or lakehouse, mention it here.
5How do you approach providing technical leadership and setting architecture standards within a team?Medium
Why they may ask
Evaluates leadership, communication, and standardization skills.
Prepare to discuss
- Share examples of mentoring, code reviews, or establishing best practices.
- Describe how you foster collaboration and knowledge sharing.
- Explain how you ensure alignment with organizational goals.
Tip: Emphasize both technical and interpersonal aspects.
6Have you worked with real-time data infrastructure? What challenges did you face and how did you address them?Medium
Why they may ask
Assesses experience with real-time data processing and problem-solving.
Prepare to discuss
- Describe the technologies and architectures used for real-time data.
- Explain specific challenges (e.g., latency, consistency) and your solutions.
- Highlight the impact on business processes or decision-making.
Tip: Relate your answer to cloud-native or GCP solutions if possible.

Talking points

Designing Scalable Data Architectures on GCP
Demonstrate your experience building robust, scalable solutions using GCP services like BigQuery and Cloud Storage.
Python for Data Processing and Orchestration
Showcase your ability to use Python for ETL, orchestration (e.g., with Composer), and API development in data environments.
Implementing Data Governance and Security
Prepare examples of how you have established or improved data governance, security, and compliance in previous roles.
Building and Optimizing Data Lakes and Warehouses
Highlight your experience with data lake/warehouse design, optimization, and real-time data infrastructure.
Technical Leadership and Mentoring
Be ready to discuss how you have provided technical guidance, set standards, or mentored teams in data architecture projects.

What to research

Review GCP Data Services
Refresh your knowledge of BigQuery, Cloud Storage, and Composer, focusing on architecture, integration, and optimization.
Python Data Engineering Skills
Prepare examples of using Python for ETL, orchestration, and API development in cloud environments.
Data Governance and Security Practices
Be ready to discuss frameworks, policies, and tools you have used to ensure data governance and security.
dbt and Modern Data Modeling
Review your experience with dbt, especially building scalable and testable data models.

Questions to ask

What are the main data architecture challenges currently facing the team or organization?
Why ask this? To understand the specific problems you would be addressing and tailor your approach.
How is success measured for this Data Architect contract over the initial 6 months?
Why ask this? Clarifies expectations and deliverables for the contract period.
What is the current technology stack and are there any planned migrations or upgrades?
Why ask this? Helps you assess alignment with your skills and anticipate upcoming projects.
How does the team approach data governance and security, and what improvements are being targeted?
Why ask this? Shows your interest in best practices and continuous improvement.
What opportunities exist for providing technical leadership or mentoring within the team?
Why ask this? Assesses the scope for influence and leadership in the role.
How is hybrid working structured for this contract?
Why ask this? Clarifies expectations around on-site versus remote work.

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Apply NowApply before: 26 Oct 2026

Data Architect

TechJobs.ie Job Insights

At a glance

Technologies & skills

What you'll be doing

Key requirements

Role signals

Similar jobs

Full job description

Interview prep pack

Your interview focus

Only have 30 minutes?

Your 30-minute plan

Likely questions

Talking points

What to research

Questions to ask

Register now to upload your CV

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