Data Architect

Dublin - Ireland

Monthly Salary: Not Disclosed

Experience Required: 5-7years

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Elevate Partners is partnering with a global leading consultancy to appoint a highly skilled Data Architect to join their Artificial Intelligence & Data team. This is an excellent opportunity to work across a diverse portfolio of clients delivering innovative data solutions while advancing your technical expertise and career development.

The role offers exposure to cutting-edge technologies cross-functional project teams and industry-leading methodologies. You will contribute to data strategy architecture design automation advanced analytics and the development of predictive models supported by a broad network of specialists across the organisation.

Key Responsibilities:

Scope design and lead the implementation of robust data solutions and architectures using both open-source and proprietary technologies.

Develop data models ETL pipelines and CI/CD processes to support scalable enterprise-grade solutions.

Produce technical specifications and architectural designs across data storage governance and management platforms including technologies such as Cloudera Hadoop and Databricks.

Embed best-practice data security quality and integrity throughout all solution designs.

Lead and mentor data analysts and data engineers ensuring alignment to the target architecture and delivery best practice.

Manage engagements across a range of industries and sectors contributing to the design and delivery of complex data projects.

Build and maintain strong stakeholder relationships identifying opportunities to expand and enhance project outcomes.

Coach and support junior team members in line with their development goals.

About You:

Degree in Maths Physics Engineering Computer Science or a related technical discipline.

Proven experience leading and delivering data-focused projects in complex environments.

Strong ability to influence senior stakeholders and provide high-quality technical advice aligned with industry best practice.

Experience working with project management methodologies tools and frameworks.

Hands-on commercial experience in data management architecture or related roles.

Exposure to enterprise-grade data architecture using platforms such as Cloudera CDP Databricks and cloud environments (Azure AWS or GCP) is highly desirable.

Demonstrated experience motivating and guiding teams to achieve successful project outcomes.

If this position that may be of interest please apply directly or email our Head of Technology Daniel OConnell on

Key Responsibilities:

Scope design and lead the implementation of robust data solutions and architectures using both open-source and proprietary technologies.

Develop data models ETL pipelines and CI/CD processes to support scalable enterprise-grade solutions.

Produce technical specifications and architectural designs across data storage governance and management platforms including technologies such as Cloudera Hadoop and Databricks.

Embed best-practice data security quality and integrity throughout all solution designs.

Lead and mentor data analysts and data engineers ensuring alignment to the target architecture and delivery best practice.

Manage engagements across a range of industries and sectors contributing to the design and delivery of complex data projects.

Build and maintain strong stakeholder relationships identifying opportunities to expand and enhance project outcomes.

Coach and support junior team members in line with their development goals.

About You:

Degree in Maths Physics Engineering Computer Science or a related technical discipline.

Proven experience leading and delivering data-focused projects in complex environments.

Strong ability to influence senior stakeholders and provide high-quality technical advice aligned with industry best practice.

Experience working with project management methodologies tools and frameworks.

Hands-on commercial experience in data management architecture or related roles.

Exposure to enterprise-grade data architecture using platforms such as Cloudera CDP Databricks and cloud environments (Azure AWS or GCP) is highly desirable.