• Serve as the technical architect for Salesforce Education Cloud implementations, ensuring solutions are secure, scalable, and aligned with Salesforce best practices. • Collaborate directly with education-sector clients to translate strategic goals and operational needs into comprehensive Education Cloud architecture and roadmap. • Lead end-to-end solution architecture including data models, integration strategy, declarative and programmatic components, and environment management. • Architect and oversee legacy data migrations from student information systems or custom education platforms into Salesforce Education Cloud. • Design and document complex data models using Entity Relationship Diagrams (ERDs) and ensure alignment with Education Data Architecture standards. • Evaluate and recommend Salesforce-native and third-party tools to support implementation goals (e.g., OmniStudio, Marketing Cloud, Tableau). • Support business analysts, consultants, and developers through design sessions, architecture reviews, and code/configuration governance. • Contribute to proposal development, solution demonstrations, and pre-sales activities as needed. • Mentor junior Salesforce professionals, promote architectural best practices, and contribute to practice-wide enablement and innovation efforts. • Knowledgeable about the Education Cloud roadmap, the features on Salesforce’s roadmap, and assist the project manager with the project roadmap planning. • Has experience architecting Student Management (Academic Operations) and Alumni solutions. • Responsible for the project's architecture documentation, for internal and external use. • Performs other job-related duties as assigned.

• Join a National Top Workplace • We are seeking an experienced Salesforce Marketing Cloud Developer to join our dynamic team focused on delivering innovative, scalable, and technically robust loyalty marketing solutions. • This role is critical in building custom components and advanced integrations within Salesforce Marketing Cloud (SFMC) to enable automated, personalized, and data-driven engagement for our clients. • You’ll work closely with cross-functional stakeholders including strategy, data, and client services to translate business needs into technical execution.

• Architect and implement automated database solutions in Azure and GCP. • Deploy, configure, and integrate native database services (Azure SQL, Azure PostgreSQL, Google Cloud SQL) and MongoDB Atlas. • Develop and maintain infrastructure-as-code using Terraform, adhering to best practices. • Build and maintain Python automation scripts for provisioning, integration, lifecycle management, and monitoring. • Apply GitOps principles to infrastructure and application deployment. • Utilize AI-assisted development tools, such as GitHub Copilot, to enhance code quality and automation. • Collaborate with cross-functional teams to define requirements and ensure compliance with governance and regulatory standards. • Optimize cloud infrastructure for performance, reliability, and cost efficiency. • Design and manage CI/CD pipelines for data workloads, including automated testing and deployment validation. • Implement cloud cost optimization strategies and performance tuning. • Document architectures, automation workflows, and operational procedures. • Troubleshoot and resolve complex issues related to data platform infrastructure and automation. • Demonstrate strong troubleshooting skills and experience operating in large-scale, enterprise cloud environments.

• Design and develop scalable cloud architectures • Implement cloud computing solutions: IaaS, PaaS, SaaS • Optimize the performance of cloud systems • Collaborate with development teams to integrate cloud solutions into existing applications • Ensure data quality and security in the cloud • Analyze business needs and propose appropriate solutions • Monitor and maintain cloud systems in production