Job Description

###

Job Advert Summary

To design and maintain optimal data models/structures at both an enterprise and system level, that meet the business and architectural objectives.



Analysing the current environment to detect critical deficiencies, recommend solutions for improvement and develop strategies for aligning the data architecture to the business needs.

###

Minimum Requirements

Education:

Certification Data Management Association's (DAMA) Degree in Computer Science or IT field Certification using cloud-based database systems

Experience:

5 to 8 years' experience in Asset Management industry 8 years' experience in database management engineering 5 to 8 years' experience working with Business Intelligence function Experienced with specific types of databases, such as relational or foundational databases Experience with database management software

Knowledge and Skills:

Math and computer science proficiency Knowledge of Data management system Strong knowledge of data modelling techniques SQL proficiency with data warehousing concepts Knowledge of data architecture Strong knowledge of data governance and quality assurance

Competencies:

Exceptional verbal and written communication skills Ability to lead an IT team The ability to analyze and present statistical information Publishing and/or presenting design reports Identifying areas for improvement in current systems Excellent attention to detail Multitasking ability
###

Duties and Responsibilities

Data Modelling

Develop data structures and enable physical implementation by providing the data model. Establish data modelling principles, standards and development methodology. Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards Facilitate data flow understanding by collating data flow diagrams outlining the flow data across systems and interfaces. Identify opportunities for re-use of the data model. Identifying installation solutions for new databases Determining the requirements for a new database Creating systems to keep data secure Auditing database regularly to maintain quality

Data Architecture

Provide guiding principles and data architecture Address business data needs Lead the adoption of the data architecture Monitor and evaluate competitive offerings Identify the business impact of change and risks associated Enable organisation wide solutions to integrate well with existing practices by developing mitigating actions and change strategies Consider not only the optimisation of the system, but also the long term viability of the system. Support the achievement of the business strategy, objectives and values. * Seek opportunities to improve business processes, models and systems through agile thinking