Data Architect

Reperio Human Capital · Recruitment agency
Contract•Architecture•€450-500/day (EUR)•Ireland · Remote within Ireland · Hybrid
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At a glance

Employment type
Contract
Workplace
Hybrid
Day rate
€450-500/day (EUR)
Category
Architecture

What you'll be doing

Contract Data Architect role (12 months, hybrid, Dublin) leading design and delivery of modern data and analytics solutions. Responsibilities include technical leadership, overseeing data architecture, integration, modelling, analytics, and mentoring teams. Client-facing experience and expertise in cloud and data platforms required.

  • Lead the design and delivery of modern data and analytics solutions
  • Translate business requirements into scalable technical architectures
  • Work closely with clients throughout the project lifecycle
  • Provide technical leadership and ensure successful solution delivery
  • Oversee data architecture, integration, modelling, and analytics initiatives
  • Mentor technical teams

Key requirements

Must-have

  • Previous experience as a Data Solution Architect delivering enterprise data platforms in client-facing environments
  • Strong expertise in data architecture, data warehousing, ETL, data modelling, cloud technologies, and business intelligence solutions
  • Experience with stakeholder management
  • Experience with solution documentation (HLD/LLD)
  • Experience with Agile delivery
  • Knowledge of data management best practices

Nice-to-have

  • Knowledge of Microsoft Fabric and modern cloud-based data platforms
  • Exposure to AI, machine learning, data visualisation, and master data management solutions

Role signals

Technical focus
data architecture, integration, modelling, analytics
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 12-month contract, with a focus on hybrid working. Strong day rate available.

About the Role

  • Lead the design and delivery of modern data and analytics solutions, translating business requirements into scalable technical architectures.

  • Work closely with clients throughout the project lifecycle, providing technical leadership and ensuring successful solution delivery.

  • Oversee data architecture, integration, modelling, and analytics initiatives while mentoring technical teams.

Requirements

  • Previous experience as a Data Solution Architect delivering enterprise data platforms in client-facing environments.

  • Strong expertise in data architecture, data warehousing, ETL, data modelling, cloud technologies, and business intelligence solutions.

  • Experience with stakeholder management, solution documentation (HLD/LLD), Agile delivery, and data management best practices.

Desirable

  • Knowledge of Microsoft Fabric and modern cloud-based data platforms.

  • Exposure to AI, machine learning, data visualisation, and master data management solutions.

If this role sounds of interest, 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 Data Architect contract role in Dublin focuses on leading the design and delivery of enterprise data and analytics solutions, with a strong emphasis on technical leadership, client engagement, and modern data platform expertise.

  • Technical Leadership·High
  • Hands-on Data Architecture·High
  • Client Engagement·High
  • Modern Cloud Platforms·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review and Select Relevant Project Examples

    0–8 min

    Identify 2-3 enterprise data platform projects where you led architecture and delivery, focusing on client-facing aspects.

  2. Refresh Technical Knowledge

    8–15 min

    Revisit key concepts in data warehousing, ETL, data modelling, and cloud analytics platforms, especially any experience with Microsoft Fabric or similar tools.

  3. Prepare Documentation Samples

    15–20 min

    Gather or outline examples of HLD/LLD documentation you have created, ready to discuss your approach and structure.

  4. Reflect on Stakeholder and Team Leadership

    20–25 min

    Think through specific examples of stakeholder management, mentoring, and Agile delivery in your previous roles.

  5. Draft Role-Specific Questions

    25–30 min

    Prepare thoughtful questions about the organization's data strategy, technology stack, and team structure to ask during the interview.

Likely questions

, 8 items

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

Talking points

, 6 items
  • Translating Business Requirements into Scalable Data Architectures

    Demonstrate your ability to understand client needs and design robust, scalable solutions that align with business objectives.

  • Technical Leadership and Mentoring

    Showcase examples where you have led technical teams, provided guidance, and ensured successful project delivery.

  • Data Integration, Modelling, and Analytics Initiatives

    Highlight your hands-on experience with data warehousing, ETL processes, and analytics platforms, especially in enterprise environments.

  • Stakeholder Management and Solution Documentation

    Prepare to discuss how you manage client expectations, communicate technical concepts, and produce clear HLD/LLD documentation.

  • Cloud Technologies and Modern Data Platforms

    Be ready to discuss your experience with cloud-based data solutions, including any exposure to Microsoft Fabric or similar platforms.

  • Agile Delivery and Data Management Best Practices

    Demonstrate your familiarity with Agile methodologies and how you ensure data quality, governance, and best practices in your projects.

What to research

, 4 items
  • Enterprise Data Platform Project Examples

    Prepare detailed examples of projects where you led the design and delivery of enterprise data platforms in client-facing environments.

  • Technical Skills in Data Warehousing, ETL, and Cloud Analytics

    Review your experience with data warehousing, ETL processes, data modelling, and cloud-based analytics solutions relevant to the role.

  • Solution Documentation Samples

    Gather samples or outlines of HLD/LLD documentation you have produced for previous projects.

  • Stakeholder Management Strategies

    Reflect on your approach to managing stakeholders and mentoring technical teams throughout the project lifecycle.

Questions to ask

, 6 items
  1. What are the primary business drivers for the current data architecture initiatives?

    Why ask this? To understand the strategic context and priorities for your work.

  2. Which cloud platforms and analytics tools are most commonly used in your current projects?

    Why ask this? To clarify the technical environment and align your experience.

  3. How is success measured for data architecture projects within the organization?

    Why ask this? To identify key performance indicators and expectations.

  4. What is the typical team structure and how do architects collaborate with other roles?

    Why ask this? To understand collaboration and leadership expectations.

  5. Are there opportunities to contribute to AI, machine learning, or data visualisation initiatives?

    Why ask this? To explore involvement in innovative or emerging technology areas.

  6. What are the main challenges currently faced in delivering data solutions for clients?

    Why ask this? To anticipate obstacles and demonstrate proactive problem-solving.

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Apply NowApply before: 30 Oct 2026