Senior Data Architect & Delivery Lead

EY; Dublin; On-site; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Pension

Hybrid Working

Health Insurance

Gym Membership

Travel Allowance

Job summary

EY is seeking a senior Data Architect to lead our Data & Analytics practice in Dublin. You will translate client business needs into robust data architectures, collaborate with business and IT teams, and design solutions aligned with industry standards.

The role involves leading engagements, guiding teams, and shaping our finance data strategy. The position emphasizes technical leadership, data governance, and cloud-native data platforms, with opportunities for mentoring and market-facing work

Qualifications

• Minimum of 10 years of experience with a blue‑chip consulting firm, 3+ in a data architecture leadership role.
• Experience leading data teams in a data leadership role with client-facing responsibilities.
• Strong knowledge of end-to-end finance data, data models and analytics platforms.

Responsibilities

• Understand client business needs and translate into data architecture requirements.
• Lead technology consulting engagements and solution workshops.
• Shape and manage engagement teams and client expectations.
• Drive data architecture capability development and thought leadership.

Skills

Data architecture leadership

Enterprise data warehousing

Cloud platforms (GCP/AWS/Azure)

Technical leadership

Data governance

Strong communication

Education

Bachelor’s degree in IT/CS/Statistics/Mathematics/Engineering/Finance/ Economics/Business

Tools

Teradata

IBM data models

GCP

AWS

Azure

Spark/Kafka/Hive

Job description

EY is seeking a senior Data Architect to lead our Data & Analytics practice in Dublin. You will translate client business needs into robust data architectures, collaborate with business and IT teams, and design solutions aligned with industry standards.

The role involves leading engagements, guiding teams, and shaping our finance data strategy. The position emphasizes technical leadership, data governance, and cloud-native data platforms, with opportunities for mentoring and market-facing work