Architect, Solutions job opportunity at Standard Bank.

Diploma

GP, Johannesburg, 5 Simmonds Street, South Africa

GP, Johannesbu..........South Africa

summarize with Ai

__ Solution Design & Architecture #architecture Design scalable, secure, and high-performance data solutions aligned with business requirements. Define data #data architecture standards, patterns, and best practices. Lead the selection of appropriate technologies, platforms, and tools for data solutions. __ Enterprise Data Strategy Contribute to the development and execution of enterprise data strategies. Align data architecture with business goals, digital transformation initiatives, and regulatory requirements. Promote data as a strategic asset across the organization. __ Data Modeling & Integration Develop conceptual, logical, and physical data models. Architect data integration solutions across on-premises and cloud environments. Ensure data consistency, quality, and lineage across systems. __ Cloud & Platform Architecture Design and implement cloud-native data solutions (e.g., Azure #Azure, AWS, GCP). Evaluate and integrate data platforms such as data lakes, data warehouses, and lakehouses. Optimize data storage, compute, and processing architectures #architect. __ Governance, Security & Compliance Embed data governance principles into solution design. Ensure compliance with data privacy regulations (e.g., POPIA, GDPR). Implement data security controls, access management, and encryption strategies. __ Collaboration & Stakeholder Engagement Work closely with business units, data engineers, analysts, and IT teams. Translate business needs into technical requirements and data solutions. Present architectural decisions and roadmaps to senior leadership. __ Innovation & Continuous Improvement Stay abreast of emerging technologies and trends in data architecture. Drive innovation in data engineering, analytics, and AI/ML enablement. Continuously improve architecture for performance, cost-efficiency, and agility. __ Mentorship & Leadership Provide technical leadership and mentorship to data engineering and analytics teams. Establish architectural review processes and promote knowledge sharing. Contribute to talent development and capability building in data disciplines.