Data Architect at Salt South Africa

• To create a common understanding of the company's information and data assets that allows stakeholders to identify business improvement opportunities and identify business-IT misalignment by developing an integrated view of the enterprise’s data and information, using an appropriate Information and Data Architecture Framework. This includes the definition of key business data objects, information assets and data entities, and building and maintaining associated information & data architecture models for the enterprise.

JOB OBJECTIVES

• Define and continuously improve the information and data architecture framework and modeling standards.
• Define and create enterprise level information and data architecture models that enable and facilitate analysis and clarity of the business strategy, goals and priorities.
• Define and create solution level information and data architecture models that enable specific business requirements.
• Ensure the integrity and quality of information and data architecture outputs by executing the required governance and quality control within IT and business TASK INFORMATION Define and continuously improve the information and data architecture framework and modeling standards.
• Define a structured Information and Data architecture approach and methodology for capturing the key views of the enterprise.
• Align the information and data architecture framework in support of the enterprise and regulatory information governance needs such as Information Security, Enterprise Information Management, POPI, PCI, etc.
• Identify, define and communicate standards, guidelines, formats, meta-models, policies, best practices, and governance practices for Information and Data architectures and designs.
• Ensure that the Information and Data architecture approach integrates into the methodologies and processes of the rest of the Enterprise Architecture team.
• Take overall responsibility for the definition of the Information and Data architecture meta-model and its management within the enterprise architecture repository.
• Stay abreast of best practices and / or new developments in Information and Data analysis and related disciplines and drive adoption as deemed appropriate. Define and create enterprise level information and data architecture models that enable and facilitate analysis and clarity of the business strategy, goals and priorities.
• Define the enterprise data architecture vision and strategy and roadmaps to implement the strategy.
• Identify common information and data that is shared across the enterprise and participate in the enterprise wide efforts to reach common understanding of those information and data concepts and ownership.
• Create standard enterprise reference architecture models for common information and data (Information Reference Model, Data Reference Model and Integration Reference Model).
• Develop current and desired future states of Information and Data assets to aid the organization in achieving its strategic goals. This covers concepts such as an Enterprise Canonical Data Model, Master Data Management, Operational Data Stores, Data Warehouses, Relational Databases, data flow diagrams, data integration patterns, data dictionaries, key data usage patterns, etc.
• Define enterprise level data flows and data lifecycles in support of key retail business processes.