Data Architect

Reperio Human Capital Ltd; Dublin; Hybrid; EUR 111,000 - 166,000; Full time

Benefits offered by this job

Work From Home

Job summary

Reperio Human Capital Ltd is seeking a Data Architect in Dublin with hybrid working. The role leads enterprise data architecture across a global environment, defining standards, patterns, roadmaps and reference architectures.

You will design scalable cloud data solutions including data warehouses, data lakes, lakehouses, real-time processing, and AI/ML platforms, partnering with architecture, security, governance and technology teams to ensure secure, resilient, and compliant delivery.

Qualifications

• Solid experience in enterprise data architecture and data engineering.
• Proficiency with cloud data platforms, data integration, and governance.
• Strong communication and stakeholder management skills.
• Experience leading cross-functional technical initiatives.

Responsibilities

• Lead enterprise data architecture across a large-scale global environment.
• Design scalable cloud data solutions across Data Warehouses, Data Lakes, Lakehouses, real-time processing and AI/ML platforms.
• Partner with architecture, security, governance and technology teams to ensure solutions are secure, resilient, performant and compliant.

Skills

Data Architect

Azure

Python

Tools

Azure

ADF

ADLS

Databricks

Kubernetes

Job description

Job Description

I'm currently recruiting for a Data Architect based in Dublin, focusing on hybrid working. This is an initial 6-month contract, strong day rate available. About the Role Lead enterprise data architecture across a large-scale global environment, defining standards, patterns, roadmaps and reference architectures. Design scalable cloud data solutions across Data Warehouses, Data Lakes, Lakehouses, real-time processing and AI/ML platforms. Partner with architecture, security, governance and technology teams to ensure solutions are secure, resilient, performant and compliant. Requirements Previous experience in Data Architecture / Data Engineering Proficiency with cloud data platforms, data integration, data management and enterprise-scale data solutions. Strong understanding of data governance, security, resilience, APIs, event-driven architectures and streaming. Excellent communication and stakeholder management skills, with experience leading cross-functional technical initiatives. Desirable Previous experience with Azure, ADF, ADLS, Databricks, Kubernetes and event-streaming platforms. Knowledge of Generative AI/ML, BI, reporting and analytics, including responsible AI principles. Experience with Agile/DevOps and enterprise architecture, ideally within financial services or other highly regulated environments. Skills: Data Architect Azure Python

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