Job Description
JOB PURPOSE

• The Data Architect is responsible for designing and implementing the overall data architecture to support business processes and decision-making. This role involves creating data models, developing data strategies and data dictionaries, and facilitating data flow between systems and ensuring data integrity, security, and scalability across the organisation.

RESPONSIBILITIES

• Data Architecture Design
• Design and develop the overall data architecture, including data models, data flows, and data dictionaries
• Guide and assist with the development of data integration strategies in conjunction with the Integration COE
• Create, maintain and apply logical and physical data models to support business requirements using databases, data warehouses, data lakes and data pipelines
• Apply data policies, standards, guidelines, and best practices for data management involving data quality, security, privacy and governance
• Data Strategy and Planning
• Develop, implement, and communicate data strategies that form part of the BLTS Strategy to support business goals and objectives
• Collaborate with business leaders to understand data needs and translate them into technical requirements
• Collaborate with data analysts, data engineers, data scientists, and other stakeholders to understand the data requirements and provide data solutions
• Create and maintain a data architecture roadmap to guide the organization’s data initiatives
• Research and evaluate new data technologies and trends to support data innovation and business growth
• Guiding Data Integration and Management
• Guide and assist data integration solutions to ensure seamless data flow across systems
• Guide and assist ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently transferred between systems
• Provide guidance to ensure data quality, consistency, and security throughout the data lifecycle including version control
• Guide and assist IT and database teams to implement and maintain data systems and infrastructure
• Data Governance and Compliance
• Establish and enforce data governance policies, procedures, standards and best practises for data quality, security, and privacy
• Ensure data architecture complies with regulatory requirements and industry standards
• Monitor data usage and access to ensure compliance with data governance policies
• Articulate the benefits and advantages of the proposed solutions in a way that resonates with clients
• Customer Centricity
• Coordinates contact with Business Partners as needed to assist with support activities
• Establish and maintain a positive professional relationship with Business Partners and customers
• Maintain regular and timely communications with Business Partners and customers
• Maintain strong working relationship with customers and Business Partners
• Work with customers and Business Partners to execute consistent service processes throughout the organization
• Establish a single point of contact for issue resolution and change management
• Drive customer centricity in levels of the organization
• Work Collaboratively
• Build a culture of integrity, respect and understanding across the organisation
• Recognise outcomes which resulted from effective collaboration between teams
• Build co-operation and overcome barriers to information sharing, communication, and collaboration across the organisation
• Facilitate opportunities to engage and collaborate with external stakeholders (Retailers and POS Companies) to develop joint solutions
• Excellent communication and presentation skills
• Ability to work effectively in a collaborative team environment
• Job Requirements
• BEHAVIOURAL COMPETENCIES
• Ensures Accountability
• Managing others
• Communicating goals
• Allocating and managing resource
• Tech Savvy
• Attention to detail
• Customer focused
• Evaluating problems
• Processing details and information
• Building relationships & Trust

EDUCATION

• Matric
• Bachelor’s degree or in computer science, information systems, or related field

EXPERIENE

• At least 5 years of experience in data architecture, data modelling, data engineering, or related field
• Proficient in SQL and one or more programming languages (e.g., Python, Java, Scala)
• Experience with various data platforms and tools (e.g., Oracle, SQL Server, MySQL, MongoDB, Hadoop, Spark, AWS, Azure, Google Cloud)
• Knowledge of data warehousing, data lake, and data pipeline concepts and architecture
• Knowledge of data governance, data quality, data security, and data privacy principles and practices
• Strong analytical, problem-solving, and communication skills · Strong documentation skills and proficient with using MS Office Tools
• Ability to work independently and in a team environment