# FS Technology Consulting - AI and Data - Data Architect - Manager - Dublin at EY

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> Responsibilities: - Define end-to-end data architecture stra

- **Company:** EY (https://jobs.trythestack.co/companies/ey)
- **Location:** Ireland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 10+ years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Data Architecture, AI, Big Data, Cloud Platforms, Data Governance, Financial Services Consulting, Solution Design, Enterprise Data Warehouse, Stakeholder Management, Team Leadership, Data Modeling, Technical Delivery, Client Relationship Management, Strategic Advice, Business Development, Data Integration
- **Posted by employer:** 2026-07-14
- **Added to The Stack:** 2026-07-14
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://careers.ey.com/ey/job/Dublin-2-FS-Technology-Consulting-AI-and-Data-Data-Architect-Manager-Dublin/1414689933/ (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/fs-technology-consulting-ai-and-data-data-architect-manager-dublin-ey

## About the role

Responsibilities:
- Define end-to-end data architecture strategies aligned to client business objectives in Financial Services.
- Lead solution design workshops, produce architecture and solution design documents with effort and cost estimates.
- Design cloud-native data platforms (analytics, big data, governance) and integration patterns across cloud providers.
- Provide technical leadership on AI, analytics, data quality, governance and large-scale data migration or transformation programs.
- Act as a hands-on subject-matter expert on client engagements, mentor delivery teams and manage technical delivery risks.
- Manage stakeholder expectations, present designs to senior client teams and support business development activities.

Requirements:
- Significant (10+ years) experience delivering data architecture and large-scale data transformation in consulting or industry, with Financial Services exposure.
- Deep technical knowledge of cloud data platforms (Azure/GCP/AWS), big-data technologies (Spark, Kafka) and enterprise data warehouses.
- Proven experience producing solution design documents, running workshops, and estimating complexity/cost for programs.
- Strong leadership, client-facing skills and the ability to manage multi-disciplinary teams and senior stakeholders.
- Familiarity with regulatory and data governance frameworks relevant to FS (reporting, privacy, compliance).
- Excellent communication skills and a track record of driving technical strategy and mentoring others.

## Responsibilities

The Data Architect will design and implement data solutions and architectures aligned with client strategic objectives within the Financial Services sector. They will lead technology consulting engagements, manage client expectations, and mentor junior team members to grow the Data and Analytics practice.

## Requirements

Candidates must have a bachelor's degree and at least 10 years of experience in blue-chip consulting, including 3+ years in a data architecture role. Proficiency in modern data platforms, cloud technologies (GCP, AWS, Azure), and experience leading large-scale data transformation projects in Financial Services is required.

## FAQ

- **Is this FS Technology Consulting - AI and Data - Data Architect - Manager - Dublin role still open?** It was posted on 2026-07-14. Listings more than 30 days old may no longer be active, so check EY's site before applying.
- **Does EY offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on EY's site.
- **Where is this role located?** The listing gives the location as Ireland. It is marked on-site.
- **What skills does this role ask for?** The listing names: Data Architecture, AI, Big Data, Cloud Platforms, Data Governance, Financial Services Consulting, Solution Design, Enterprise Data Warehouse, Stakeholder Management, Team Leadership, Data Modeling, Technical Delivery, Client Relationship Management, Strategic Advice, Business Development, Data Integration.

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## Notes for agents

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