Data Architect

Archer · Recruitment agency
Contract•Architecture•€500/day (EUR)•Dublin, Ireland
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At a glance

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

Technologies & skills

Primary technologies

PHP

What you'll be doing

Lead the migration of an on-premise data estate to Microsoft Fabric for a major Irish transportation organisation. Own Fabric architecture, engineering standards, and best practices. Shape a modern data platform to enable predictive modelling, forecasting, and advanced analytics. Immediate start, on-site in Dublin.

  • Own the data ingestion and pipeline migration from on-premise to Microsoft Fabric
  • Develop robust, scalable, and well-controlled data pipelines
  • Design, build, and optimise data pipelines and data solutions
  • Establish the evolution of the organisation’s modern data platform and advanced analytics capabilities
  • Own the Fabric architecture, engineering standards, and best practices

Key requirements

Must-have

  • Strong Data Engineering experience
  • Hands-on experience with Microsoft Fabric

Role signals

Technical focus
Data Architecture and Engineering
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

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Full job description

Data Architect – Immediate start

  • Microsoft Fabric migration and modern data engineering

  • 1 stage interview process

  • Huge transformation

A leading Irish owned transportation organisation is undertaking a major data transformation programme, migrating its on-premise data estate to Microsoft Fabric and building a modern data platform to support faster delivery.

This is an excellent opportunity for a Data Architect with strong Microsoft Fabric experience to play a key role in a large-scale data migration and transformation programme.

This is an urgent hire, and they are looking for someone who can join immediately and make a significant impact from day one. With the interview process consisting of just one stage, there is a real opportunity to move quickly and start delivering meaningful results immediately.

  • Why You’ll Love It Here:

    • Join an elite team of experts in delivering a major transformation of the organisation’s data estate

  • Own the Fabric architecture, engineering standards and best practices

  • Shape a data platform designed to enable predictive modelling, forecasting and advanced analytics

  • Play a key role in modernising how data is delivered, controlled, reconciled and consumed across the business

  • Daily rate up to €500

  • You Will:

    • Own the data ingestion and pipeline migration from on-premise to Fabric

  • Develop robust, scalable and well-controlled data pipelines

  • Design, build and optimise data pipelines and data solutions

  • Establish the evolution of the organisation’s modern data platform and advanced analytics capabilities

  • Skills / Experience:

    • Strong Data Engineering experience

  • Hands-on experience with Microsoft Fabric

For more information, contact

For additional opportunities, visit the Archer Recruitment website

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 for a Data Architect to lead the migration of an on-premise data estate to Microsoft Fabric, focusing on building a modern, scalable data platform for a major Irish transportation organisation undergoing significant transformation.

  • Hands-on Microsoft Fabric expertise·High
  • Data pipeline architecture and optimisation·High
  • Establishing engineering standards·Medium
  • Supporting advanced analytics·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Microsoft Fabric Documentation and Case Studies

    0–8 min

    Study the latest features, migration tools, and real-world implementations of Microsoft Fabric relevant to large-scale data migrations.

  2. Prepare STAR Stories for Data Migration and Pipeline Projects

    8–15 min

    Outline specific examples from your experience that showcase your ability to lead migrations, build pipelines, and set standards.

  3. Refresh Knowledge on Data Governance and Best Practices

    15–20 min

    Review frameworks and examples of how you have implemented data quality, control, and governance in previous roles.

  4. Research the Organisation and Its Transformation Goals

    20–25 min

    Gather publicly available information about the company’s data initiatives and transportation sector trends to tailor your responses.

  5. Prepare Targeted Questions for the Interview

    25–30 min

    Draft thoughtful questions about the migration, team, and platform vision to demonstrate your engagement and strategic thinking.

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

  • End-to-End Data Migration to Microsoft Fabric

    You will need to demonstrate experience planning and executing large-scale migrations, including challenges faced and solutions implemented.

  • Designing Robust and Scalable Data Pipelines

    The role requires building pipelines that are reliable and can handle growth; be ready to discuss your approach to scalability and control.

  • Establishing Engineering Standards and Best Practices

    You will be expected to set and enforce standards; prepare examples of how you have done this in previous roles.

  • Enabling Advanced Analytics and Predictive Modelling

    The new platform is intended to support analytics; discuss how your architecture choices have enabled or improved analytics capabilities.

  • Modernising Data Delivery and Consumption

    Be prepared to explain how you have improved data accessibility, governance, and reconciliation in past projects.

What to research

, 4 items

  • Microsoft Fabric Architecture and Migration Tools

    Review the core components, migration strategies, and best practices for Microsoft Fabric, especially for on-premise to cloud transitions.

  • Modern Data Engineering Patterns

    Refresh your knowledge of robust, scalable data pipeline design, including orchestration, monitoring, and error handling.

  • Data Platform Governance and Best Practices

    Prepare examples of how you have established and enforced engineering standards, data governance, and quality controls.

  • Enabling Advanced Analytics

    Be ready to discuss how your data architectures have supported predictive modelling, forecasting, and analytics initiatives.

Questions to ask

, 6 items
  1. What is the current state of the on-premise data estate and what are the main challenges anticipated in the migration?

    Why ask this? To understand the scope and complexity of the migration project.

  2. How is success measured for the data transformation programme?

    Why ask this? To clarify expectations and key performance indicators for your role.

  3. What is the size and structure of the data engineering and analytics team?

    Why ask this? To gauge the level of collaboration and support available.

  4. Are there any specific tools or technologies, beyond Microsoft Fabric, that are central to the new data platform?

    Why ask this? To identify the broader technical environment and any additional skills required.

  5. What are the biggest risks or obstacles identified so far in the transformation journey?

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

  6. How does the organisation plan to leverage the new platform for advanced analytics and predictive modelling?

    Why ask this? To align your architectural decisions with business goals.

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Apply NowApply before: 10 Oct 2026