The Lead Salesforce Architect will own the platform's architectural direction, roadmap, and design standards while leading a team of administrators and external partners. They are responsible for managing complex integrations, overseeing the migration to Revenue Cloud, and ensuring the platform scales effectively to meet business strategy.
Design, build, and maintain large-scale Power BI semantic models while optimizing performance for enterprise-level reporting. Collaborate with data engineering teams to manage deployments and ensure data integrity across Snowflake and Microsoft Fabric pipelines.
The Senior AI Engineer will own the complete data science lifecycle, including sourcing, analyzing, and engineering data for predictive models. They are responsible for architecting, training, and deploying production-grade ML models while independently managing the end-to-end project workflow.
Design, build, and deploy full-stack applications with a focus on backend systems and AI-powered solutions. Collaborate with stakeholders to rapidly prototype and deliver end-to-end solutions in forward-deployed environments.
Define and govern enterprise data architecture and integration frameworks to enable advanced analytics and operational excellence. Lead the design of scalable GCP data platforms, including the implementation of Data Mesh and Lakehouse patterns.
Design and maintain scalable batch and real-time data pipelines on GCP using Medallion Architecture. Develop high-performance data transformations and optimize complex SQL queries for large-scale analytical workloads.
Design and maintain advanced iOS applications and scalable Node.js APIs within the healthcare domain. Ensure strict compliance with healthcare data standards while optimizing app performance and backend observability.
