Data Architect

**Duties**: *** - **Operational Delivery** - Maintain, support, and enhance the business intelligence or data platform - Create and maintain platform architecture and ensuring documentation is up to date - Lead and provide technical guidance for design and implementation of data assets within governance systems - Formulate and recommend standards for achieving maximum performance and cost savings within the data platform budget - Take part in the planning for retirement of data assets, and migration of systems infrastructure to the cloud - Work closely with data platform business owners to ensure the alignment of corporate and departmental objectives and projects - Champion trust and sustainability throughout the data platform teams, designing and promoting best practices - Help data engineers and analysts with issues needing technical expertise or complex systems and/or programming knowledge - Provide on-the-job training for new or less experienced team members - Provide technical training to external team members to foster stronger cross-departmental relations - Input to architectural decision making - **Reporting** - Collaborate and work with teams to ensure that data and reports can meet their business needs using the BI platform. - Design end-user reporting tools and systems, to help teams ensure reports are monitored, accurate, up-to-date and secure. - Guide teams on correct modelling techniques for accurate and high performing report building. - **Governance, Control and Benchmarking** - Ensures the Data is manageable and provides more support to accelerate data-driven digital transformation. - Ensure proper communication of applicable data privacy practices and laws to teams - Conduct research and make recommendations on data products, services, and standards to support procurement and development efforts - Ensure that capabilities needed for modern data warehousing are in place and are functioning appropriately for teams to use them - **Technical Leadership** - Customer Oriented - Data Warehousing / “Lakehousing” Concepts - Data Governance - Data Loading (Batching and Streaming) (Kafka) - Modern Data Architecture (Specifications, Architectural Concepts and Artifacts) - Data Modelling (Kimball, Data Vault, 3rd Normal Form, ODS) - Data Integration (ADF, Databricks, Talend, SSIS, Confluent) - Data Storage (Data Lake, Delta Lake) - Reporting and Dashboarding (Power BI, Tableau, Qlik) - Warehouse / “Lakehouse" Automation - An understanding of designing loosely coupled data solutions - Extensive knowledge of cloud BI technologies Skills and Experience Required: - At least 6- 8 years’ experience in Enterprise Analytics (Data Warehousing, Business Intelligence) - At least 6 -8 years’ BI Solution / Data Architecture experience - At least 3 years cloud (Azure or AWS) experience (SaaS, PaaS, and IaaS) - Experience with data quality processes and master data management - Experience in combining unstructured and structured data to enrich data models - Understanding of batch, micro-batch, delta and streaming ETL/ELT - Experience in agile processes and incremental delivery - Ability to create capabilities to support strategic and operational insights across organisational levels - Data and/or Delta Lake experience - Strong technical background in development of data systems - Detailed knowledge of system architecture, security, analysis, design, documentation and governance - Understanding of Machine Learning and Artificial Intelligence - Working experience of Data/Dev Ops Qualifications/ Certification: - A BCom Informatics or BSc Computer Science degree or equivalent qualification or 6 - 8 years’ experience as a data architect within a modern data environment - **_In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent_