Data Modeler / Data Intelligence Manager

Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Data-Modeler, Data-Architect, Metadata-Manager, Data-Intelligence-Manager, Database-Administrator, Data-Modeling-Manager, Manager-Of-Data-Architecture, Data-Strategy-Manager
Source
himalayas
First observed
2026-08-22 13:59 UTC
Last seen
2026-08-22 13:59 UTC
Source claims posted
2026-08-22 13:16 UTC
Consecutive misses
0 of 10

What the posting says

Key purpose:

To ensure the proper functioning of our company's erwin 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

Good facilitation 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

Good facilitation skills

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #271260 2026-08-22 13:59 UTC
    Published