Data Architect

• Relevant qualification in information technology, informatics, computer science or a related field, or equivalent architecture experience
• Cloud architecture, data platform, information security or enterprise architecture certification is advantageous
• Telecommunications experience, particularly customer, billing, network or service assurance data, is advantageous
• Substantial experience designing enterprise data architectures and translating business processes into scalable data models
• Strong SQL and modelling skills across relational, dimensional and semantic structures, including star and snowflake schemas
• Experience with SQL Server and other enterprise databases, data warehousing, metadata, performance tuning and analytical consumption layers
• Practical knowledge of ETL or ELT and cloud Lakehouse patterns; experience with Databricks, PySpark, Delta Lake and Azure or AWS is valuable
• Ability to design API-led integrations and data flows between legacy and modern platforms, including clear data quality and lineage controls
• Understanding of BI needs and tools such as Power BI or Qlik, with the ability to define consistent, reusable measures
• Sound governance, security and privacy judgment; clear documentation and communication with technical and executive stakeholders

• Approved and reusable data models
• Documented architecture decisions and data contracts
• Improved data quality and lineage
• Reliable and performant data pipelines
• Consistent and trusted measures across reporting and analytics
• Successful delivery of the agreed data architecture roadmap

• Define target data architecture, standards and a practical migration roadmap across operational and analytical platforms
• Create conceptual, logical and physical data models, including 3NF, dimensional models, conformed dimensions, semantic layers and metadata
• Design governed warehouse and lakehouse structures, including raw, bronze, silver and gold layers, schema evolution and reusable data products
• Specify ingestion, ETL and ELT, API integration, data contracts, lineage, quality rules and orchestration for reliable cross-system data flows
• Work with engineering teams on scalable SQL, cloud and Databricks implementations, performance tuning and release practices
• Partner with BI and business teams to define trusted measures for customer behaviour, product performance, revenue, network and service operations
• Build privacy, security, access control, retention and recovery requirements into data designs, with controls aligned to POPIA and ISO 27001
• Review solution designs, document architecture decisions and coach delivery teams while working with stakeholders and vendors

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Please consider your application as unsuccessful if you have not received a response within 14 days of submitting your application.