Cloud Systems Architect (226 Days)
• The Cloud System Architect serves as the District's technical leader for Oracle Cloud Infrastructure (OCI), enterprise Data Lakehouse architecture, AI-enabled analytics, and cloud data modernization initiatives. This position is responsible for designing, implementing, securing, and governing scalable cloud and data platforms that support enterprise reporting, predictive analytics, artificial intelligence, and executive decision-making.
• The Architect will establish cloud architecture standards, data governance frameworks, AI-driven dashboard strategies, and enterprise analytics capabilities while ensuring alignment with District technology objectives, security requirements, and industry best practices.
• Design, implement, and maintain enterprise Oracle Cloud Infrastructure (OCI) architecture, including networking, storage, compute, database, and security services.
• Architect, implement, and govern the District's enterprise Data Lakehouse environment supporting structured and unstructured data workloads.
• Develop and oversee cloud-native data integration, and data engineering solutions that support enterprise analytics and reporting.
• Lead the implementation and adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies for predictive analytics, forecasting, and operational intelligence.
• Design, develop, and manage AI-enabled executive dashboards and analytics platforms utilizing Oracle Analytics Cloud (OAC), Power BI, or similar technologies.
• Establish enterprise data governance, metadata management, data lineage, master data management, and data quality standards.
• Collaborate with application, infrastructure, cybersecurity, and business teams to ensure cloud and data solutions comply with District architecture standards and security requirements.
• Develop automation frameworks, Infrastructure monitoring solutions, and operational best practices to improve reliability and efficiency.
• Evaluate emerging cloud, analytics, AI, and data technologies and provide strategic recommendations to executive leadership.
• Provide technical leadership, architecture reviews, mentoring, and project oversight for cloud, data, analytics, and AI initiatives.