Description:
The Irish firm also has several strategic projects ongoing. These range from moving all our Dublin offices into a brand-new single campus in Harcourt Street, to the replacement of our current SAP ECC 6 Practice Management system with a more modern alternative, better supporting the digital transformation of our business. Digital transformation programs are currently underway across each of our key businesses.
Solid data governance is fundamental to many of the above developments, and this role is offers the successful candidate a fantastic career opportunity within Ireland’s leading professional services organisation as we invest in our data infrastructure.
A Snapshot Of Your Peer Group
- Bachelor or Master's degree in Computer Science, Information Systems, or a related field
- At least 8-10 years’ experience as Enterprise Data Architect needed for designing, implementing, and governing the organization's enterprise-wide data strategy and architectures
- Minimum 3 end-to-end Data Architecture implementation projects in any of SAP MDG/MDI, Informatica, Microsoft Azure Data Platforms, Attaccama or IBM Infosphere.
- Practical experience with SAP Business Technology Platform (BTP) – Data and Analytics components like SAP Analytics Cloud and SAP HANA Cloud
- Demonstrable experience in enterprise data architecture, data modelling, and data management (TOGAF certified is highly desirable)
- Possess a deep understanding of diverse data technologies, architecture best practices, and the ability to translate business needs into robust data solutions (SAP and non-SAP data objects).
- Expertise in various data management technologies, including data warehousing, data lakes, ETL/ELT tools, and data integration platforms.
- Overall understanding of Professional Services industry & business processes.
- Strong understanding of cloud computing and its implications for data management.
- Excellent communication, collaboration, and problem-solving skills.
- Ability to work independently and as part of a cross-functional team.
- In-depth knowledge of data modelling techniques, data governance principles, and data security best practices.
- Understanding of Enterprise Architectures and tools (SAP LeanIX for data & analytics architecture management is desirable)