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Data Architect
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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
Similar jobs
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.
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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
Review and Select Relevant Project Examples
0–8 minIdentify 2-3 enterprise data platform projects where you led architecture and delivery, focusing on client-facing aspects.
Refresh Technical Knowledge
8–15 minRevisit key concepts in data warehousing, ETL, data modelling, and cloud analytics platforms, especially any experience with Microsoft Fabric or similar tools.
Prepare Documentation Samples
15–20 minGather or outline examples of HLD/LLD documentation you have created, ready to discuss your approach and structure.
Reflect on Stakeholder and Team Leadership
20–25 minThink through specific examples of stakeholder management, mentoring, and Agile delivery in your previous roles.
Draft Role-Specific Questions
25–30 minPrepare thoughtful questions about the organization's data strategy, technology stack, and team structure to ask during the interview.
Talking points
, 6 itemsTranslating 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 itemsEnterprise 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 itemsWhat are the primary business drivers for the current data architecture initiatives?
Why ask this? To understand the strategic context and priorities for your work.
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.
How is success measured for data architecture projects within the organization?
Why ask this? To identify key performance indicators and expectations.
What is the typical team structure and how do architects collaborate with other roles?
Why ask this? To understand collaboration and leadership expectations.
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.
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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