As a Data Integration Specialist you will deliver secure, accurate, and efficient data connections that help educators discover each learner’s unique strengths and challenges. You will ensure seamless, high-quality integrations across Riverside’s assessment and data platforms, enabling schools and districts to grow the potential in every student through reliable and actionable information. In this role you will partner with internal teams and external customers to execute integrations, resolve issues, and enhance data workflows across systems including DESSA, Data Manager, ESGI, and easyCBM. Responsibilities - Establish and execute diverse data integrations with speed, precision, and strong customer focus. - Troubleshoot, diagnose, and resolve integration issues with minimal supervision. - Manage and transform large datasets using Excel; apply SQL or BigQuery skills where applicable. - Communicate technical concepts clearly to non-technical users and deliver exceptional customer support. - Ensure accurate data mapping, transformation, documentation, and quality validation. - Prioritize multiple projects and consistently meet deadlines. - Collaborate with cross-functional teams and share knowledge to improve data processes. - Identify and implement process improvements that enhance integration workflows and documentation. - Provide training and support to internal and external partners to increase data literacy.

• Deployment Planning: Manage & support pre-sales solution engineering, including customer validation, application design, deployment planning, and KPI identification • Deployment Operations: Manage & support post-sales customer operations, including training, deployment launch, and execution to KPIs • Internal Operational Support: Work closely with internal teams to continuously improve the Cyngn deployment process and ensure seamless alignment between our sales strategies and product capabilities • Program Support: Collaborate with program management team to plan vehicle and employee resources for future deployments • Customer Success: Manage customer relationships post-sale, ensuring our product capabilities and safety specifications are reflected in customer operations • Voice of the Customer: Act as a liaison between our clients and our Product and Engineering teams, providing crucial feedback to enhance our products and strategies. • Sales / Validation: Assist sales when needed as a subject matter expert in Cyngn technology to validate prospective customers, deep dive into Cyngn product offerings, and discuss EAS integration into customer workflow • Continuous Improvement: Improve internal sales, deployment, and product processes. Looking for ways to streamline and incorporate industrial engineering lean principles into all aspects of the job

• Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure. • Guide technical teams through data migration, integration, and performance optimization. • Identify opportunities for automation and performance optimization to enhance client’s data platform capabilities. • Lead data migration to cloud platforms (e.g., Snowflake, Redshift), ensuring smooth integration of data lakes, data warehouses, and distributed systems. • Setting up a client's data platform with industry best practices & robust security standards including Data Governance. • Adapt to ongoing changes in platform environment, data, and technology by debugging, enhancing features, and re-engineering as needed. • Plan ahead for changes to upstream data sources to minimize impact on users and systems, ensuring scalable adoption of modern data platforms. • Manage multiple customer engagements to ensure timely project delivery, optimize operations to prevent resource overruns, and maximize platform ROI. • Serve as a trusted advisor, offering strategic guidance on data platform optimization and addressing technical challenges to meet business goals. • Partner with sales, engineering, and support teams to ensure seamless project delivery and high customer satisfaction. • Provide mentorship and technical guidance to junior engineers, promoting a culture of continuous learning and excellence.

• Propose, design, and provision cloud-native data solutions on AWS/Azure. • Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack. • Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader. • Skillfully navigate complex customer environments and build Epics, Stories, and Tasks in order to mature and improve our customers’ data platform. • Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction. • Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes. • Continually hunt for ways to automate, optimize, and expand our customers’ data platform and our service offering.