Solution Architect - Data

SUMMARY:
Solution Architect - Data

POSITION INFO:

Datonomy has 20 years'' experience in data and digital solutions, We are perfectly placed to catapult you onto the career path of your dreams. Our projects cover the full spectrum of data, therefore we can offer you access to the most interesting, innovative, and ground-breaking work currently being done.

Our goal is to positively impact One Billion People by 2030 - and we can only achieve this if our clientsand our people collaborate on projects and solutions that will change the world.

Solution Architect - Data

To create a common understanding of 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 Objective:

• Define and continuously improve the information and data architecture framework and modelling 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 modelling 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.
• Perform gap analysis on current and desired future states and make recommendations regarding improvement opportunities to better accomplish the business'' objectives or to meet new challenges.
• Collaborate with the Business and Application architects and Information and Data management stakeholders to ensure overall alignment of the Information & Data Architecture with their requirements.
• Define and create solution level information and data architecture models that enable specific business requirements.
• Analyze the inputs and outputs of business process and create related Information and Data architectures and designs for the baseline ("as is") and target ("to be") solution architectures.
• Define the business information flows and data lifecycles related to business processes.
• Define the data entities and data integration requirements for data that is shared across applications.
• Identify misalignment between data models of new systems and existing data models and manage any impact on the existing data models in the related implementation projects.
• Coordinate with system analysts, development teams and DBAs to ensure creation of physical database and an optimal implementation of the data models/database design.
• Ensure the integrity and quality of information and data architecture outputs by executing the governance and quality control within IT and business
• Define information and data architecture governance proce

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