Data Modeler / Data Intelligence Manager

About the job Data Modeler / Data Intelligence Manager

Key purpose:

To ensure the proper functioning of our company'serwin suite of products, (erwin Data Modeler and Data Intelligence) for data modeling and metadata management. This hands-on position will ensure the daily functioning of these environments in respect of access, performance and storage management. The scope includes ensuring the solutions are healthy and is used according to architectural standards and configuration specifications. To ensure the technical and architectural integrity of the system environments and its repositories, extract database schema information and metadata from various source databases as well as the publishing of DDLs to development environments and enable the use and maintenance of an enterprise data glossary. This position will work with data modelers and architects to ensure their knowledge assets are properly crafted, reviewed, stored and accessed. The position will report to the Architecture Practice Manager and work closely with the Data Domain Architect This is a specialist position and entails detailed system knowledge.

Duties and responsibilities:

• Support, administrate and maintain the enterprise modeling and metadata management capabilities using erwin Data Modeler and erwin Data Intelligence
• Ensure the usability and value of the company metadata and models
• Support the Data Architecture capability and data practice at Enterprise level
• Ensure system health and the pro-active management of system resources to ensure that performance, access and storage NFRs are adhered to
• Perform technical configuration, administration and management of erwin landscape to support a multi-user environment.
• Setup and configure the various erwin landscapes (erwin DM and erwin DI) etc.
• Understand, test, validate and manage new versions and upgrade of all related modelling tools from Beta testing to productionizing of the modelling environment
• Perform housekeeping activities such as consolidating objects, checking model structures and modelling compliance.
• Apply the necessary governance in the erwin suite to ensure adequate security and architectural control
• Manage the extraction of metadata and model structures from various sources
• Ensure database schemes are extracted from various source systems and enable reverse engineering of databases into ERDs
• Extract metadata from various sources using erwin ODBC connectors
• Ensure proper process and governance is in place and followed
• Maintain the metadata and data model repository
• Ensure the integrity of all logical and physical models as well as the extraction and enrichment of metadata across the data architectural landscape in the erwin solution sets.
• Manage and ensure the integrity and quality of the metadata repository
• Conduct checks on models to ensure technical compliance.
• Ensure erwin landscape integrity by identifying and resolving inappropriate objec occurrences, unnecessary or duplicate models, redundancies, and erroneous model development.
• Ensure modelling system processes are adhered to and technical aspects are performed.
• Enable and use reference artefacts like standards and templates to ensure a consistent modelling approach
• Ensure models are published and are accessible to the various stakeholders
• Assist in establishing the required capabilities / resources in the modelling community.
• Ensure user access correct access to the right people
• Able to report on system health and other management information
• Ensure DDLs are generated from physical data models and deployed to various development environments either manually or using Bitbucket
• Enable data sharing between erwin Data Modeler, Data Intelligence and other systems using APIs
• Ensure metadata and data models get published in accordance with the needs of the data management function and architectural principles
• Review integration / consolidation of models for the company
• Monitor compliance of user modelling to modelling standards.
• Develop and provide management reports of the erwin landscape according to management requirements
• Facilitate the setting of data modelling standards and associated metamodel adherence
• Ensure server and system maintenance tasks are successfully executed and monitored (memory, disk space, backups, etc.). Ensure system health and the pro-active management of system resources to ensure performance, access and adequate storage. Manage updates and patches
• Recover databases in the event of data corruption, crashes or on request.
• Budget and plan growth in erwin landscape deployment to support company demand on data modeling and metadata management needs
• Ensure erwin landscape support and maintenance are timeously renewed and that the package vendor invoices are correct.
• Reduce bottlenecks in data model integration, consolidation and releases
• Ensure there are sufficient back-ups and redundancy

Qualifications and experience:

• Diploma or Degree qualification in Information Systems Or Experienced erwin Repository Manager with minimum 5 years experience
• Honours degree with focus in Information Management
• Strong analytical skills with attention to detail
• Excellent team-working and interpersonal skills
• Strong communication and relationship building skills
• Development of engaging presentation materials
• Excellent verbal and written communication skills
• Administering data modelling and metadata management tools and licensing, user permissions
• Retail industry business processes and systems
• Administering erwin landscape tools and licensing, user permissions
• Experience as a data analyst/information data architect
• Experience with distributed management and analytics in cloud and hybrid environments. Also, an understanding of a variety of data access and analytics approaches and data system life cycle methodologies

Job related skills:

• Strong analytical skills with attention to detail
• Excellent team-working and interpersonal skills
• Strong communication and relationship building skills
• Development of engaging presentation materials
• Excellent verbal and written communication skills