The MuleSoft Architect will lead the design, development, and configuration of complex integration solutions on the MuleSoft ESB platform. They are responsible for overseeing deployment architecture, providing technical guidance, and ensuring the scalability and security of API integrations across the enterprise.
Lead final testing and validation of Workday Compensation and its integration with the MAPS crew management and scheduling system, checking compensation configurations, union rules, collective bargaining agreements, pay rates, allowances, and bonuses. Identify defects, drive timely resolution with the systems integrator, support go-live readiness, and provide hands-on leadership to contractors and potentially 1–2 direct reports.
The role focuses on resolving post-go-live defects within the SuccessFactors Employee Central Time module. Responsibilities include performing schema updates for PTO rules and managing balance reconciliations.
The consultant will focus on resolving post-go-live defects within the SF EC Payroll system. They will also be responsible for managing schema updates related to PTO rules and performing balance reconciliations.
The consultant will build guest-level value scoring and predictive models to determine lifetime value. They will also perform cohort analysis and behavioral segmentation to provide actionable insights for marketing and commercial leaders.
The role involves providing technical leadership for a team of software engineers to build and operate scalable cloud-native applications on AWS. You will drive architectural decisions, engineering best practices, and modernization initiatives while mentoring team members.
The consultant will assist with the integration of SAP Analytics Cloud into the client's Microsoft Azure ERP environment. Responsibilities include managing BTP/BDC services and overseeing the SAC setup and implementation.
The Azure Databricks Administrator will manage, secure, and optimize Databricks environments across development, staging, and production. This role involves collaborating with cross-functional teams to ensure platform reliability, governance, and cost efficiency.
Own end-to-end architecture for complex AI and distributed systems, from concept through production, ensuring scalability, performance, resilience, security, and compliance. Partner with business and engineering stakeholders to define architecture, evaluate technologies, establish standards, guide implementation, and evolve platforms.
Own end-to-end architecture solutions for complex, large-scale distributed systems with a focus on AI integration. Partner with business leaders to translate ambiguous needs into scalable, secure, and high-performance technical designs.
