Data Architect

Essential Functions
Lead the design development and implementation of scalable and secure data architectures that support WSSC Waters operational systems and data needs Develop and maintain data models database schemas and data warehouses tailored to the water and wastewater industry Design integrate and optimize real-time data pipelines to support the integration of operational data from various sources (e.g. SCADA GIS sensors IoT devices field data and enterprise systems) Design ETL (Extract Transform Load) processes to ensure smooth efficient data flow between operational systems and analytics platforms Ensure data consistency quality and availability across different platforms supporting both historical and real-time analytics Develop hybrid cloud architectures to leverage cloud computing platforms (e.g. AWS Azure GCP OCI ) while maintaining necessary on-premises solutions Ensure seamless integration between on-premises and cloud data environments for scalability flexibility and cost-effectiveness Lead cloud migration initiatives ensuring that legacy systems are efficiently transitioned to modern cloud-based infrastructure Design robust security practices including data encryption access controls and data masking protocols to protect sensitive water and wastewater data ensuring compliance with regulatory requirements Collaborate with IT security teams to establish data governance frameworks risk mitigation strategies and incident response plans Establish and enforce data governance policies and practices to ensure data accuracy consistency and reliability across all systems Develop frameworks for data lineage metadata management and data cataloging to improve data traceability and transparency Lead initiatives to improve data quality by identifying issues and implementing solutions for cleansing standardization and validation Design data architecture to support advanced analytics machine learning and AI workloads for predictive modeling asset management and operational optimization Ensure that data infrastructure supports real-time analytics for enhanced decision-making and monitoring of water quality usage patterns and infrastructure performance Work closely with data science teams to provide the necessary data structures and processes to enable data-driven insights Document data architecture designs processes and systems to ensure transparency maintainability data usage integration procedures and security protocols to enable team collaboration and compliance Conduct training and knowledge-sharing sessions for internal teams to improve understanding of data systems and best practices

Work Schedule
Monday Friday 8:00am 5:00pm