Lead Data Solution Architect

Ireland

103 days ago

Description

Based in Ireland - Possibility to remote in EU

As the Lead Data Solution Architect, you will be responsible for designing and implementing cutting-edge data solutions that align with the overall data strategy for a pan-European credit management project. Working within Azure cloud architecture, you will lead the design and integration of data platforms, ensuring the efficient and secure management of large datasets across multiple countries.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
7+ years of experience in data architecture, with at least 2 years in a leadership role.
Strong expertise in Azure cloud platforms, including Azure Data Lake, Azure SQL, Azure Databricks, and Azure Synapse Analytics.
In-depth knowledge of data governance, data security practices, and regulatory compliance (GDPR, etc.).
Excellent communication and stakeholder management skills.
Proven track record in designing data architectures that scale across multiple regions and business units.

Bonuses

Salary to be discussed at interveiw stage

Benefits

Benefits

Competitive compensation package
Opportunity for professional development in a dynamic, global setting
Supportive, collaborative, and knowledge-driven workplace

Responsibilities

Lead the architecture and design of end-to-end data solutions within the Azure cloud environment to support credit management workflows.
Collaborate with business stakeholders to define data requirements and translate them into scalable and high-performance solutions.
Ensure that data architecture aligns with best practices, industry standards, and company objectives in data security, governance, and privacy.
Oversee the integration of disparate data sources across various countries, ensuring consistency, quality, and compliance with local regulations.
Provide technical leadership and mentorship to the Data Engineering and Data Science teams, fostering collaboration and knowledge sharing.
Monitor and optimize the performance, scalability, and reliability of data solutions in the cloud.