Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. We continue our own Digital Transformation to deliver customer success and accelerate growth. A key pillar of this transformation is building a strong data foundation to support internal, cross-Enterprise data needs through intelligent data sets-as-a-service, leveraging our own, best-in-class, Data Cloud platform for internal, go-to-market needs. We are seeking an experienced and committed Senior Member of Technical Staff (SMTS) who will help deliver & support Salesforce’s Enterprise Data Foundations within Salesforce Data Cloud, as part of our Data Platform Services organization. This SMTS will work closely with product management, data science, data visualization, and analyst teams by building Data Cloud architecture, environments, and supporting robust data pipelines. This role requires embracing full accountability for technical deliveries through all phases of the development life cycle—from code to test to production, delivering high quality, secure, and resilient applications. The ideal candidate leverages a Platform Engineering mindset to design, build, and maintain foundational infrastructure and tools that standardize the development process and streamline efficiency. This role requires strong experience with data infrastructure, data architecture, ETL, SQL, automation, real-time data pipeline architecture, and data frameworks necessary to rapidly integrate disconnected and disparate data sources into automated datasets. The candidate must also possess a proven track record working with enterprise metrics and strong operational skills to drive speed, efficiency, and reliability.