Job Description
Role description
The Data Architect (DA) will be bridging the business architect and the IT architect. The DA will play a vital role in designing and implementing both business and technical architecture for effective exchange of HR data. He/she will also help identifying redundant systems/processes that can be eliminated. The DA will be working closely with business Subject Matter Experts (SMEs) and different stakeholders, will be involved in developing (HR) data vision and strategy, data architecture, data governance, data exploitation, as well as, the business and technical integration of the solutions. This is a hands-on role and involves close collaboration with the central GDM team to prepare for creation of Data Lake.
Key responsibilities
Building relationships with business SMEs and stakeholders to understand their data landscape and business priorities
Consulting on the necessary data architecture, elaborating the requirements, business KPIs and other reporting or analytical outputs
Knowledge and experience
Experience with the analysis and design of Data Warehouse, BI, Data Analytics or complex Data Migration solutions, ETL automation
Experience of analyzing and designing multiple aspects of the data solution including source systems, ETL routines, resolving DQ issues, relational and dimensional models (conceptual and logical), developing the reporting or analytics layers
Experience in designing Solution Architecture and equally hands-on development
Background experience of several of the following
Data stores such as Oracle, SQL Server, SAS and Hadoop
Extract, Transform and Load (ETL)/Data Management/Data Quality Management tools
A strong element of creativity to shape innovative solutions combined with architectural design experience in order to develop a workable solution
Ability to identify and control both technical and project risks and facilitate issue resolution, liaising with the Project or Delivery Managers within our own or client organizations
Good understanding of how application, data, infrastructure and network design combine to achieve high performance, availability, resilience and scalability of solutions
In-depth experience in data modeling, experience with business intelligence systems (dimensional modeling), data mining, predictive analytics and relevant industry experience
Extra’s that are a plus:
Background experience of several of the following:
BI and reporting tools like QlikView ,Tableau , Business Objects and SSRS
R and Python
We are looking for the following competencies
Excellent English communication skills and ability to craft recommendations into the business language of your stakeholders
The ability to speak confidently on technical subjects
A high degree of personal motivation and resilience
The ability to work in a high pressure environment