Data Architect

Reperio Human Capital · Recruitment agency
Full-time•Architecture•€400-450/day (EUR)•Ireland · Remote within Ireland · Hybrid
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At a glance

Employment type
Full-time
Workplace
Hybrid
Day rate
€400-450/day (EUR)
Category
Architecture

Technologies & skills

Primary technologies

Python

Cloud & infrastructure

GCP

Other technical skills

BigQuerydbt

What you'll be doing

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

  • 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

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 focuses on designing and developing scalable data architectures on GCP, optimizing data infrastructure, and establishing governance and security standards while providing technical leadership.

  • Hands-on GCP data architecture·Medium
  • Data governance and security·High
  • Technical leadership·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review GCP Data Architecture Projects

    0–8 min

    Prepare 1-2 detailed examples of designing and implementing data architectures using GCP services.

  2. Summarize Data Governance and Security Experience

    8–14 min

    List specific frameworks, policies, or tools you have implemented for governance and security.

  3. Refresh Python and dbt Use Cases

    14–20 min

    Recall concrete projects where you used Python for orchestration or API development and dbt for data modeling.

  4. Prepare Leadership and Mentoring Stories

    20–25 min

    Identify examples where you provided technical leadership or mentored team members.

  5. Draft Questions for the Interviewer

    25–30 min

    Select and tailor 2-3 questions from the provided list to ask during the interview.

Likely questions

, 6 items

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

Talking points

, 5 items

  • Designing Scalable Data Architectures on GCP

    You should be ready to discuss specific examples of architecting enterprise data solutions using GCP services, as this is central to the role.

  • Building and Optimizing Data Lakes and Warehouses

    Demonstrating experience with data lakes, warehouses, and real-time infrastructure will show your ability to handle the core technical requirements.

  • Implementing Data Governance and Security

    The role emphasizes establishing standards, so prepare examples where you set up or improved data governance and security frameworks.

  • Python for Data Processing and API Development

    Proficiency in Python is required; be ready to discuss how you've used Python for orchestration, ETL, and API development in previous roles.

  • Technical Leadership and Mentoring

    The listing highlights technical leadership, so prepare to share how you have led teams, mentored colleagues, or set architectural standards.

What to research

, 4 items

  • GCP Data Services

    Review BigQuery, Cloud Storage, and Composer, focusing on architecture, integration, and best practices.

  • Data Governance and Security Frameworks

    Prepare examples of implementing governance, compliance, and security in data platforms.

  • Python for Data Engineering

    Refresh knowledge of using Python for ETL, orchestration, and API development in cloud environments.

  • dbt and Modern Data Modeling

    Review your experience with dbt, focusing on building scalable and testable data models.

Questions to ask

, 6 items
  1. What are the main data architecture challenges currently facing the team?

    Why ask this? To understand the immediate priorities and pain points you would address.

  2. How is success measured for the Data Architect in this organization?

    Why ask this? To clarify expectations and performance metrics.

  3. What is the current technology stack and are there plans for future changes or migrations?

    Why ask this? To assess the technical environment and upcoming projects.

  4. How does the team approach data governance and security, and what frameworks are in place?

    Why ask this? To gauge the maturity of governance practices and your potential impact.

  5. What opportunities exist for technical leadership and mentoring within the team?

    Why ask this? To understand your role in team development and leadership.

  6. Are there any ongoing or planned initiatives involving Data Mesh or Lakehouse architectures?

    Why ask this? To learn about innovation and alignment with your experience.

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Apply NowApply before: 26 Oct 2026